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Manam Chocolate is a Hyderabad craft chocolate brand building a premium, farm-linked retail business around Indian cacao. It has raised $9 Mn in Series A funding to scale that bet, with Omnivore leading the round and the Turner Morrison consortium joining in. The problem it’s trying to solve is simple: most chocolate sold in India is still treated like a commodity, not a traceable, origin-led food product worth discovering. Founded in 2021 by Chaitanya Muppala, Manam is using that gap to build a D2C premium chocolate brand with stores, gifting, beverages, desserts, and more than just bars.

What is Manam Chocolate and what does it sell?

Manam Chocolate isn’t just selling chocolate bars. It controls a bigger chunk of the chain than most Indian craft brands do. It sources cacao in Andhra Pradesh, ferments it in Tadikalapudi, makes chocolate in-house, and sells it through its own stores, website, marketplaces, and quick commerce channels. Its operating idea is closer to farm-to-retail than plain bean-to-bar.

That matters because Manam has built the brand around post-harvest control, especially fermentation and drying, which is where a lot of flavor is either created or lost. The company’s product architecture is unusually broad too. It includes single-origin and single-farm tablets, bonbons, palettes, clusters, bark, cacao nibs, drinking chocolate, spreads, cookies, gifting assortments, and workshop-led experiences. The assortment has already crossed 300 offerings across 50 categories.

The customer experience is also very deliberate. At Manam Chocolate Karkhana in Hyderabad, the brand combines a shop and an interactive cacao journey. It also has live chocolate-making, a chocolaterie, a chocolate lab, a classroom, and a café inside a 10,000 sq. ft. space. That’s not a normal confectionery store. It’s retail as education.

And that’s probably the smartest part of the model. Before brands like Manam, a buyer mostly met chocolate in a supermarket aisle or a gifting box. Here, the sale starts with provenance, texture, flavor notes, and even the farmer story behind a bar. TIME’s profile on the company captured that shift neatly by noting that some bars identify the farmer tied to the cacao.

Who founded Manam Chocolate and how did it start?

The founding story

Chaitanya Muppala founded Manam Chocolate in 2021, but the idea goes back further. His interest in the category started in 2018, when customers at Almond House — his family’s premium sweets business in Hyderabad — kept asking for chocolate gifting. That pushed him into studying how industrial chocolate differed from craft chocolate, and then into a deeper question: could Indian cacao be good enough to anchor a premium consumer brand of its own?

He didn’t answer that with a quick SKU launch. He spent years studying cacao in West Godavari, talking to growers, and digging into the technical weak spots in fermentation and drying. That work led to the fermentery setup in Tadikalapudi and to Manam’s larger ambition of turning West Godavari into a recognized fine-flavour cacao origin.

Why Muppala had real market fit

This isn’t a founder who wandered into food because it looked trendy. Muppala had already spent about a decade building consumer food businesses before Manam took shape. He took over Almond House in 2013 when it had roughly 1.5 stores, then helped expand it to 9 city outlets and 4 airport locations by 2021. He studied at the Sauder School of Business at the University of British Columbia and later joined the Stanford Seed programme.

Muppala also had a track record of launching adjacent brands, which matters here. Beyond Almond House, he helped create Indulge ice cream, Amande bakery products, Gappe Vappe Chaatwala, and Greater Gud. So Manam doesn’t look like a first experiment. It looks like a founder using prior execution muscle in food retail, gifting, and premium packaging to enter a harder category.

Early traction, rollout, and the new round

Manam opened its flagship experiential center, Manam Chocolate Karkhana, in Hyderabad in 2023. It added a beverage bar in the city in 2025 and, in June 2026, opened its flagship New Delhi store in Saket. Along the supply side, it now works with more than 150 farmers across 3,000 acres in Andhra Pradesh. The business sells through its own channels as well as marketplaces and quick commerce. TIME also named Manam one of the World’s Greatest Places in 2024.

The Series A round brings in $9 Mn, or about ₹86 Cr. Omnivore led the round, with participation from the Turner Morrison consortium. The money will go into expansion, especially new retail spaces in Delhi NCR over the next 12 months.

Who Manam competes with — and how it’s different

Manam is competing on 2 fronts at once. One is the mainstream premium shelf, where buyers can pick up products from players like Lindt, Ferrero, Fabelle, Smoor, or imported European brands. The other is the Indian craft set, where names such as Paul and Mike, Mason & Co, Soklet, Pascati, and others already have credibility with enthusiasts.

Its edge isn’t price. Frankly, it’s unlikely to win there. The real difference is vertical control plus experience-led retail. Many craft brands stop at bean-to-bar. Manam is trying to own fermentation, chocolate making, storytelling, and store theater in one brand. That chain is harder to copy than just launching another artisanal bar line.

Why the Manam Chocolate funding matters

This round matters because Manam’s model is capital-hungry in a very specific way. A brand built on immersive stores, controlled sourcing, and premium merchandising can’t scale like a light-asset snack label. It needs real estate, fit-outs, inventory discipline, trained staff, and brand consistency across every touchpoint.

And Delhi NCR is a serious test market.

If Hyderabad proved Manam could create destination retail, Delhi will show whether that formula travels. The region has dense premium demand, strong corporate gifting behavior, and a much more crowded luxury food scene. If the next 12 months go well, Manam won’t just have more stores. It’ll have evidence that Indian-origin craft chocolate can work outside its home market.

Omnivore’s presence is also telling. Manam sits at the intersection of premium D2C and agrifood value creation because the brand story starts with cacao farming, not just packaging. That makes this more interesting than a normal consumer brand cheque.

Is India’s premium chocolate market big enough for Manam Chocolate?

The short answer is yes, though this won’t be an easy market.

The source article pegs India’s premium chocolate market at $639.7 Mn by 2033, with a 9.4% CAGR from 2026 to 2033. Another 2025 market study puts the segment at $290.5 Mn in 2025 and projects it to reach $481.86 Mn by 2031, growing at 8.8% annually. Different reports use different definitions, but they point the same way: premium chocolate in India is growing faster than old-school mass confectionery assumptions would suggest.

There’s a second tailwind here too. India’s D2C brands are expected to grow cumulative GMV to $310 Bn by 2031 from $65 Bn in 2026, according to the source article. That creates a better environment for premium food brands that want to mix owned retail with online sales, marketplaces, and faster delivery.

Consumer behavior is changing in Manam’s favor too. Premiumization is no longer limited to coffee, skincare, or alcohol. Food gifting, cleaner labels, artisanal formats, and origin-led storytelling now sell — especially in urban India. A 2025 premium chocolate study notes that millennials and Gen Z make up more than 65% of India’s population.

Where does Manam Chocolate go next?

Manam Chocolate now has enough capital to prove whether Indian craft chocolate can become a scaled retail category, not just a niche product for food nerds.

The company has already shown it can build desire around cacao from Andhra Pradesh. Now it has to show repeatability in Delhi NCR, where attention is expensive and novelty fades fast. Watch the store rollout, yes. But also watch whether Manam can keep its farmer-linked origin story intact while it grows.

Read how Rivvun AI raised a $7.5M seed led by Sitara Capital and 3one4 Capital to help enterprises detect and recover revenue and spend leakages by connecting contracts, invoices, and finance systems with AI-driven execution workflows.

FAQ

• What is the Manam Chocolate funding round about? Manam Chocolate raised $9 Mn in a Series A round led by Omnivore, with the Turner Morrison consortium also participating. The money is meant to fund expansion, especially new retail spaces in Delhi NCR over the next 12 months, after the brand’s June 2026 entry into New Delhi.
• How does Manam Chocolate work as a business? It works as a vertically integrated premium chocolate brand rather than just a chocolatier selling bars. Manam sources cacao from Andhra Pradesh, handles fermentation and chocolate making, and then sells through its own website, physical stores, marketplaces, and quick commerce while also using immersive retail formats like its Hyderabad Karkhana.
• Who founded Manam Chocolate? Chaitanya Muppala founded Manam Chocolate in 2021. Before that, he spent years scaling Hyderabad sweets brand Almond House, studied business in Canada at UBC’s Sauder School, and launched other food businesses, which gave him unusually strong operating fit for a premium consumer brand.
• Is Manam Chocolate a D2C brand or a premium chocolate retailer? It’s both, really. Manam is a D2C premium craft chocolate brand, but it’s also building experience-led retail through formats like its Hyderabad flagship and its Saket store in New Delhi, which makes it broader than a typical online-first chocolate label.

Rivvun AI builds enterprise software that finds and fixes revenue and spend leakages across contracts, invoices, supplier records, and finance systems. The Seattle-headquartered startup has raised a $7.5 million seed round — about ₹72 crore — led by Sitara Capital and 3one4 Capital to expand the platform as large companies pay closer attention to money lost in the handoff between commercial agreements and actual financial outcomes. Founded in 2026 by Anand Veerkar, Niranjan Umarane, and Patrick Linton, Rivvun is betting that the real AI wedge in enterprise software isn’t chat interfaces. It’s execution.

What is Rivvun AI and how does it work?

Rivvun AI is an execution layer for enterprise finance and procurement operations. Rivvun AI connects to ERP, CRM, CLM, source-to-pay, and CPQ systems, then compares negotiated terms, approved agreements, and actual financial outcomes to identify revenue and spend leakages. Its operating loop is simple in theory and hard in practice: sense commercial events, collect evidence across systems, analyze the gap, route decisions by policy, and push approved actions back into source systems with audit trails attached.

Rivvun AI organizes its platform around named AI agents. On the spend side, Rivvun runs tools like Invoice Steward, Spend Steward, Leakage Steward, Margin Steward, and Supplier Steward. On the revenue side, it has Revenue Sentinel, Renewal Sentinel, Customer Sentinel, and Margin Bridge. That mix shows what the company is trying to do. It doesn’t just surface anomalies. It manages invoice verification, supplier compliance, renewal integrity, earned-but-unbilled revenue, pricing enforcement, and cross-side margin drift.

Rivvun isn’t selling “AI insights” as a dashboard. It’s selling governed action. The platform can auto-approve bounded decisions within policy thresholds. Higher-risk calls go to humans with evidence packs, approval controls, and full traceability. For enterprises with too many systems and too many exception queues, that’s a sharper pitch than another analytics layer.

Before Rivvun, a finance or procurement team would often discover leakage at quarter-end — after the margin hit had already happened. Rivvun’s promise is to move that work earlier, automate the boring reconciliation, and catch issues while there’s still time to do something about them. The company says deployments can happen in weeks through pre-engineered playbooks rather than long rip-and-replace projects.

Who founded Rivvun AI and what gives them an edge?

The founding story

Rivvun founders Anand Veerkar, Niranjan Umarane, and Patrick Linton started the company after Veerkar and Umarane spent years watching enterprises negotiate solid commercial terms but lose money during execution. The thesis is direct: companies don’t only lose margin because they make bad strategic decisions; they also lose it because pricing terms go unenforced, invoices fail to match entitlements, teams leave rebates unclaimed, and contract obligations fail to flow cleanly into finance systems. That “execution gap” is the company’s whole reason to exist.

Founder-market fit

Veerkar is Rivvun’s CEO and came out of Icertis, where he helped build the revenue, alliances, and solution consulting organizations as the company scaled past $350 million in ARR. Umarane, Rivvun’s CPO, brings a different but complementary skill set: 28 years in procurement and supply chain, including 11-plus years at Icertis spanning product, presales, and engineering. Put simply, one founder knows how enterprise revenue systems are sold and deployed. The other knows how messy operational execution gets inside those systems.

Linton rounds out the team with operator and deal experience. Rivvun describes him as a serial entrepreneur and M&A leader with 6 co-founded companies, 10 acquisitions, and 3 exits. He previously built Bolton Remote into an Inc. 5000 business that was later acquired, and he has also worked at Accenture Japan. That matters. Rivvun isn’t building a narrow AI feature. It’s trying to sell a cross-functional system into giant enterprises, and that takes a founder who knows how organizations actually buy and scale software.

Early signals and fundraising

The startup is already positioning itself for Fortune 1000 customers, and its public customer examples are ambitious for a seed-stage company. Rivvun highlights a deployment that identified $70 million in addressable spend reduction after an $11.2 billion M&A integration, a royalty-governance use case that produced 300% ROI, and a banking compliance workflow that helped avoid a 2% revenue penalty. Those are anonymized examples, but they give a decent sense of the P&L problems the company wants to own.

On fundraising, Rivvun says the $7.5 million seed round was oversubscribed and Sitara Capital and 3one4 Capital led it. The money is earmarked for expanding the platform, growing product and engineering, deepening research, and building out go-to-market. The company is headquartered in Seattle and has engineering operations in Pune.

How Rivvun stacks up against incumbents

Rivvun’s direct competition doesn’t come from one neat bucket. Part of it is established contract lifecycle management vendors like Icertis, Coupa, and DocuSign, which already sell contract visibility, workflow, and compliance software into big enterprises. Part of it is source-to-pay and procurement suites. The rest is the old-fashioned workaround: finance teams, AP teams, procurement analysts, and recovery-audit firms doing painful after-the-fact reviews.

Its pitch is different in 3 useful ways. First, it sits above existing systems instead of asking customers to swap them out. Second, it tries to intervene in real time rather than hand over quarter-end analytics. Third, it ties the value story directly to the P&L — cost savings, margin improvement, revenue uplift — which is exactly the sort of language CFO buyers care about. That’s what Sitara and 3one4 are backing here: founders with deep domain fit and a product that starts with measurable financial recovery instead of vague AI productivity claims.

Why are investors backing Rivvun AI now?

This round matters because Rivvun is attacking a problem that sits right between budgets. Procurement owns part of it. Finance owns part. Sales ops owns another piece. That usually means nobody owns it cleanly, which is why leakage can survive for years inside large companies.

Investors like the fact that Rivvun’s value can be shown in hard numbers, not soft adoption metrics. Sitara’s view is that winners in enterprise tech tie their value to something a CFO can see on the P&L, while 3one4 framed Rivvun as a vertical AI company with unusually strong founder-market fit and day-1 ROI for enterprise buyers. That’s a more credible seed-stage story than “we built an AI copilot for everyone.”

But there’s still a real challenge. Selling software that can recommend actions is easy compared with selling software that can execute inside financial and procurement systems. Rivvun will have to prove that its governance model — audit logs, human oversight, approval thresholds, explainability — is strong enough for enterprises to trust it with live workflows, not just pilot projects. The company clearly knows that. That’s why so much of its product language is about bounded autonomy rather than full automation.

How big is the market Rivvun AI is chasing?

The obvious adjacent market is contract lifecycle management software, and that alone is getting bigger fast. Grand View Research estimates the global CLM software market at $1.62 billion in 2024 and projects it to reach $3.24 billion by 2030, with North America holding the largest share in 2024. That’s not Rivvun’s full opportunity, but it’s a useful proxy because the company sits right where contracts, procurement controls, and financial execution meet.

The timing also lines up with a broader enterprise shift from AI experiments to production budgets. A 2026 India AI report projected the country’s AI market could reach $126 billion by 2030, with enterprise AI growing from $11 billion in 2025 to $71 billion by 2030 and a possible $1.7 trillion GDP impact by 2035. Rivvun may be headquartered in Seattle, but its Pune base matters here. India has become a serious build-and-deploy hub for enterprise AI companies that want deep technical talent and cost discipline at the same time.

There’s also a harder operational reason this category is getting attention. McKinsey has written that AI systems can uncover contract leakage equal to roughly 4% of total spend in some cases, and that AI-led interventions can reduce procurement spend by 5% to 15% through better compliance and decision-making. Those aren’t tiny efficiency gains. For big enterprises, they’re board-level numbers.

Rivvun AI still has to prove one thing

Rivvun AI has the ingredients investors usually want in an enterprise software seed deal: founders who’ve lived the problem, a wedge that maps directly to cash, and a product narrative built around control instead of AI theater. That’s strong.

What I’d watch next is simple. Can Rivvun turn those early production-style outcomes into repeatable, referenceable enterprise deployments across industries without getting trapped in services-heavy customization?

Read how Mygate secured ₹225 crore from Dharana Capital to expand its community management platform, helping gated housing societies streamline security, payments, communication, and daily operations through a unified residential software ecosystem.

FAQ

• What is the Rivvun AI funding round? Rivvun AI raised a $7.5 million oversubscribed seed round in June 2026, with Sitara Capital and 3one4 Capital leading the investment. The cash is meant to expand the platform, add product and engineering muscle, and push further into go-to-market with large enterprise customers.
• How does Rivvun AI work for enterprises? Rivvun AI connects to existing systems like ERP, CRM, CLM, CPQ, and procurement software, then uses agent workflows to spot mismatches between commercial commitments and financial execution. It can verify invoices and enforce pricing and renewal terms. It also surfaces missed revenue and routes actions through policy controls with audit-grade evidence.
• Who founded Rivvun AI? Rivvun AI was founded in 2026 by Anand Veerkar, Niranjan Umarane, and Patrick Linton. Veerkar and Umarane spent more than a decade at Icertis, while Linton brings a separate track record in company-building, acquisitions, and enterprise operating roles, including Bolton Remote and Accenture Japan.
• Is Rivvun AI a contract management startup or an AI procurement company? It’s closer to a vertical enterprise AI company that sits across both revenue and spend operations. Rivvun overlaps with contract management, procurement analytics, and finance-control software, but its real pitch is that it acts as an execution layer tying negotiated terms to measurable P&L outcomes.

Mygate runs a residential community app that helps gated housing societies handle security, billing, amenities, and resident communication.

That’s why the latest Mygate funding round matters: Dharana Capital has invested ₹225 crore, or about $26 million, in the company through a mix of fresh capital and secondary share sales. Apartment associations still waste a lot of time on paper gate logs, patchy accounting, and scattered resident communication. That mess gets worse as communities scale. Founded in 2016 by Abhishek Kumar, Shreyans Daga, Vijay Arisetty, and Rohit Jindal, Mygate is now trying to turn that operational pain into a larger software and services business across India.

Dharana Capital is picking up a 12% to 14% stake in the transaction. Mygate wants to use the new money to widen its reach in gated communities, deepen its integrated platform, and spend more on product and technology as it aims for 10 million homes.

What is Mygate and how does it work?

Mygate is basically a community operating system for apartment complexes and gated societies. Once a society signs up, the platform digitizes gate access and resident approvals. It also handles maintenance billing, collections, complaints, amenity booking, and committee communication inside one app-plus-dashboard setup. Deployment can happen in 5 to 7 days, with guard profiles created in the backend and staff trained to use the system at the gate.

For a resident, the flow is simple. A guest shows up, the guard logs the visit, and the resident gets an app notification to approve or deny entry. The same resident can pay maintenance, utilities, rent, or clubhouse charges through the app. Then they can download receipts and payment history without chasing office staff.

For management committees and RWAs, the useful part isn’t the flashy gate notification. It’s the boring stuff. Mygate handles maintenance billing and payment reminders. It also covers GST and TDS-related accounting workflows, audits, vendor management, helpdesk tickets, and reporting. That matters because a lot of societies still run these jobs across spreadsheets, messaging groups, intercom systems, and manual registers.

It also goes beyond security. Amenities can be booked in real time, and payments can be attached to those bookings. Resident communication sits inside the same system as operations. That “one connected flow” angle is a big part of the pitch.

Who founded Mygate and how did the company grow?

Founding story

Mygate started in 2016 with a clear target: bring order to how Indian gated communities run every day. The founding team combined security thinking, operations depth, product experience, and distribution muscle. That makes sense when the customer is a housing society, not a single consumer. One part of the job is software. The other is behavior change inside messy, high-friction residential setups.

Vijay Arisetty brought the security instinct. He’s a National Defence Academy alumnus and spent 10 years as an Indian Air Force helicopter pilot. Later, he studied at ISB Hyderabad and went on to work at Goldman Sachs before building Mygate. He also received the Shaurya Chakra for rescue efforts during the 2004 tsunami. That helps explain why Mygate has always sold trust and reliability, not just convenience.

Why this team fit the market

Abhishek Kumar, Mygate’s co-founder and CEO, studied at IIT Kanpur and IIM Ahmedabad and worked as a vice president at Goldman Sachs before the startup. His background is heavy on operations and scale. It shows up in how Mygate talks about workflows, collections, and execution instead of just app usage.

Shreyans Daga, co-founder and CPO, studied at IIT Guwahati and ISB and worked across Oracle, 9.9 Media, and RSG Media before Mygate. He leads product. The company credits him with shaping a suite that now spans more than 250 features and smart-device offerings.

Rohit Jindal adds the commercial layer. He has an MBA from Symbiosis and earlier worked at Citibank, HSBC, and Practo before taking charge of revenue drivers and partnerships at Mygate. That matters because society software isn’t just built. It has to be sold society by society, committee by committee.

Traction, fundraising, and where Mygate sits against rivals

The business is live and scaled, not an early experiment. Mygate serves more than 27,000 residential communities and 5.7 million households across India. It also runs a brand engagement and advertising business for consumer brands. That gives it a second monetization engine beyond software sold into housing societies.

Financially, FY25 looks like a real step-up. Operating revenue rose 80% to ₹173.5 crore from ₹96.2 crore in FY24. Net loss narrowed 61% to ₹15.4 crore from ₹39.7 crore. Management says the company would have been profitable if not for ₹22.5 crore in ESOP and stock-based compensation costs during FY25.

This new round is Mygate’s first major fundraise in more than 3 years. Dharana Capital’s investment combines primary capital with secondary share sales and gives the investor a 12% to 14% stake. Before this, Mygate raised $56 million in a Series B round in October 2019. Then it took in a $12 million strategic investment from Urban Company and Acko in November 2022. Dharana’s portfolio already includes companies such as Urban Company, Vyapar, Zopper, Lentra, Itilite, Petpooja, Temple, LAT Aerospace, and Beyond Appliances.

Competition is real, and it’s not tiny. ADDA, ApnaComplex, and NoBrokerHood all sell versions of apartment or society management software. They usually mix accounting and visitor tracking. Staff management, service requests, and resident communication are part of the package too. Mygate’s own positioning is clear: it wants to be stronger on tying accounting, payments, visitor management, and operations into one system, while legacy alternatives still look like a jumble of registers, intercoms, Tally files, WhatsApp groups, and manually reconciled cash collections.

What does the Mygate funding mean for the company?

The obvious answer is scale. But the more interesting answer is depth.

Mygate isn’t raising just to add more apartment complexes to a map. It’s raising to make the product harder to replace inside a society once it’s installed. If the company can tighten the links between security, billing, finance, helpdesk, amenities, and resident engagement, churn gets harder. Committees don’t love switching systems when every guard, treasurer, and resident has already settled into one workflow.

There’s also a timing angle. Mygate’s FY25 numbers show a company that has grown fast while bringing losses down sharply. That makes this round look less like rescue capital and more like acceleration capital. Part of the transaction includes secondary sales, so it also gives some liquidity without changing the basic growth story.

Dharana’s bet is pretty straightforward: residential communities are turning into software accounts, and the winners will be the ones that own daily operations, not just visitor entry. If Mygate can really push from 5.7 million households toward 10 million homes, that becomes a very different business.

How big is the market behind Mygate funding?

The category is larger than it looks from the outside. Redseer estimates India’s gated communities could grow from about 125,000 to roughly 180,000 by FY2031, housing 32 million households. That’s around half of all households in the top 50 cities. The same report says India’s residential real estate market had already crossed $60 billion in value in calendar year 2025.

For community management platforms specifically, Redseer pegs the core SaaS opportunity in India at $200 million to $220 million in FY2026 and $500 million to $550 million by FY2031. It also sees an ancillary opportunity of $1.2 billion to $1.4 billion by FY2031. That helps explain why companies in this category keep layering on advertising, commerce, payments, and services.

Adoption is still early enough to leave room for growth. Redseer says community management platforms currently penetrate about 35,000 to 40,000 communities, or roughly 23% to 27% of the total, and could cross 70,000 communities and more than 12 million households by FY2031. So this isn’t a fully saturated market. Not even close.

What should you watch after Mygate funding?

The smart thing to watch now isn’t just new community count.

Watch whether Mygate turns this round into tighter product adoption per society and stronger monetization beyond basic gate access. Also watch for cleaner movement toward sustained profitability. A lot of companies can sell visitor management. Fewer can become the system a housing society relies on for money, operations, and resident behavior every day.

The latest Mygate funding round gives the company room to push that thesis harder. If it works, Mygate won’t just be another apartment app. It’ll become core infrastructure for how urban residential communities run in India.

Read how Jedify raised a $24M Series A led by Norwest to help enterprise AI agents understand company data, documents, permissions, and business context through a live semantic graph built for real-world enterprise workflows.

FAQ

• What is the latest Mygate funding round?
  Mygate has raised ₹225 crore, or about $26 million, from Dharana Capital. The deal includes a mix of primary investment and secondary share sales, and it gives Dharana roughly a 12% to 14% stake in the company.
• How does Mygate work for housing societies?
  Mygate works like a digital operating layer for gated communities. Residents use it for visitor approvals, payments, complaints, and amenity bookings, while RWAs and committees use it for accounting, collections, communication, compliance workflows, and daily operations.
• Who are the founders of Mygate?
  Mygate was founded in 2016 by Abhishek Kumar, Shreyans Daga, Vijay Arisetty, and Rohit Jindal. The team brought a mix of military experience, Goldman Sachs operations exposure, enterprise product work, and business development experience from firms including Oracle, Citibank, HSBC, and Practo.
• What market does Mygate operate in?
  Mygate sits in the gated community management and residential property software category, with overlap in proptech, fintech-style collections, and hyperlocal advertising. Redseer expects the core SaaS opportunity for community management platforms in India to reach $500 million to $550 million by FY2031.

Jedify builds software that gives enterprise AI agents a live map of a company’s data, documents, permissions, and business language. That pitch just helped the New York startup land a $24 million Series A led by Norwest, at a moment when a lot of enterprise AI still looks smarter in demos than it does inside real companies. Founded by Assaf Henkin, Adi Elimelech, and Erik Shani, Jedify was founded in 2023 and launched its Semantic Fusion platform in 2024. The bet is pretty simple: AI agents don’t fail because the model is weak. They fail because they don’t understand the business they’re dropped into.

What is Jedify’s context graph for enterprise AI?

Jedify’s core product is a context layer that sits between enterprise systems and AI agents. A customer connects sources like databases, warehouses, SaaS apps, BI tools, docs, Slack, and other unstructured content. Jedify then builds a context graph, using its Semantic Fusion engine to connect entities and metrics. It also ties in permissions, workflows, and company-specific definitions into something an agent can reason over.

The workflow is more concrete than the usual “we organize your knowledge” pitch. In the docs, Ask Jedify breaks a user request into entities, metrics, time frames, filters, and groupings, maps those terms to the company’s semantic model, and then composes SQL to fetch the answer. That means a sales leader can ask a plain-English question about pipeline, win rate, or revenue and get a response grounded in internal definitions rather than whatever the model guesses “revenue” should mean.

Jedify also packages that layer into several product modules. There’s Ask Jedify for conversational analytics. There’s a Contextual MCP Server that plugs business context into outside agent frameworks, plus Smart Scenarios for recurring deliverables like QBR decks and reports, and an Insights Library for reusable prompts and shared analysis. The docs also show Slack and Looker integrations, which hints at where the company wants to live: inside the tools employees already use, not as another standalone analytics tab.

That setup helps explain the Kiteworks example in the source article. Kiteworks connected Snowflake, Tableau, Notion, and internal playbooks — including screenshots and documents — then used Jedify to build seller-facing and account-team workflows. Henkin’s description is basically a real-time prep layer for customer calls. The system assembles what the rep needs before a meeting, then surfaces specific details during the conversation itself.

Who founded Jedify and what’s its early traction?

Founding story

The founders have worked together around data and AI for more than 15 years. They previously built one of the earlier open-source intelligence platforms used by large organizations, then went on to run Singtel’s digital data business after that company was acquired. That history matters because Jedify isn’t coming from a pure research angle. It’s coming from people who’ve already lived through messy enterprise data sprawl.

Jedify’s formal story starts in 2023. The trio had watched dashboards, semantic layers, and catalogs pile up while enterprise data got more fragmented and more unstructured. Semantic Fusion — launched in early 2024 — is their answer.

Founder market fit

Henkin is the clearest public signal here. Before Jedify, he co-founded Kontera, a big-data consumer analytics company that Singtel acquired, and later helped build life-insurtech company Sproutt as co-founder, president, and COO. His background is heavy on data products, analytics, and operating inside large organizations after acquisition. That’s the kind of experience you’d want if you’re selling deep infrastructure into enterprises.

Shani, Jedify’s CPO, brings more product and go-to-market muscle. He was previously co-founder and chief product officer at Fyllo, a compliance-focused martech company, and his professional profile centers on strategy, product management, sales, and GTM work. That’s useful because Jedify isn’t just building a graph database with nice branding. It’s trying to turn a hard technical layer into a product business.

Elimelech, the CTO, appears to be the technical architect behind the company’s semantic and agent stack. He’s the co-author attached to Jedify’s deeper product explainers on agentic analytics and the autonomous context graph, which lines up with his role as the person translating the thesis into product architecture.

Traction and operating signals

Jedify is still early, but it’s not pre-product. Henkin said the company has between 10 and 20 early customers, including The Weather Company, and is seeing demand from gaming, industrials, and consumer packaged goods. LinkedIn lists the company at 11-50 employees, which fits the picture of a startup that’s past the prototype phase but still small enough to be highly hands-on with deployments.

The product stack also looks live, not aspirational. Jedify has published docs for its conversational analytics product, Smart Scenarios, MCP integrations, Slack app, Looker extension, and a Deep Research Agent. That doesn’t prove scale. But it does show a working platform rather than a single flashy demo.

Fundraising details

The new round is a $24 million Series A led by Norwest. Returning investors S Capital VC and Cerca Partners joined again, with Oceans Ventures added as a new backer. Snowflake came in as a strategic investor and is integrating Jedify with Cortex AI, Semantic Views, and CoWork. The fresh capital will go to product development and hiring. It will also fund go-to-market. Total funding is now about $33 million.

Competition and market positioning

This is where Jedify gets interesting — and where the pitch gets tougher.

Glean now pushes its own Enterprise Graph as the layer that captures relationships across people, projects, teams, and processes for enterprise AI. Moveworks pairs agentic search with a conversational assistant that reaches across connected business systems. Contextual AI, meanwhile, sells an enterprise platform for building specialized RAG agents over structured and unstructured data. Jedify is entering a crowded zone where everyone agrees context matters. They just disagree on where that context layer should live.

Jedify’s differentiation is narrower and more technical. Henkin argues it goes beyond a semantic layer or metadata catalog because it combines structured data and unstructured knowledge. It also pulls business rules and permissions into one graph that updates continuously. Unlike the “just bring everything into our cloud” logic from big platform vendors, Jedify is pitching itself as multi-system and model-agnostic. That’s a good argument if buyers don’t want one warehouse or one AI vendor to own the full control plane. It’s also a risky one, because Snowflake is both a partner and proof that the larger platforms are marching toward the same goal.

Why does this context graph for enterprise AI round matter?

The obvious answer is money. The more useful answer is timing.

A $24 million Series A tells you Jedify’s backers think the company has a shot at becoming infrastructure, not just another workflow app bolted onto an LLM. That matters because infrastructure companies can survive model churn. If Anthropic, OpenAI, Google, or open models keep leapfrogging each other, the value may shift toward the layer that knows how a business actually works.

Snowflake’s involvement sharpens that point. Strategic checks can be cosmetic. This one looks more substantive because it comes with product integration into Cortex AI, Semantic Views, and CoWork. If that integration turns into real distribution, Jedify gets an easier path into data teams that already trust Snowflake. If it doesn’t, Jedify still has the harder but more durable pitch: it helps enterprises stitch together the stuff that never lived in one platform to begin with.

There’s a customer angle here too. Enterprises are starting to get impatient with generic copilots that answer nicely but can’t reliably act. Jedify is selling the less glamorous layer underneath — permissions, entity relationships, metric definitions, governance, observability. That’s the kind of plumbing buyers complain about at first and then refuse to live without once it works.

How big is the context graph for enterprise AI market?

The demand side is real. Gartner forecast worldwide AI spending will hit $2.59 trillion in 2026, up 47% year over year, even as enterprises stay selective and favor practical deployments over moonshot transformation projects. That’s a useful backdrop for Jedify because it suggests buyers still want AI spend tied to measurable workflow gains, not abstract model bragging rights.

The more direct market is smaller but rising fast. Grand View Research estimates the enterprise knowledge graph market was about $2.89 billion in 2025 and could reach $13.37 billion by 2033, a 21.3% CAGR. Put differently: the industry is finally spending real money on the missing layer between raw enterprise data and AI systems that are supposed to do something useful with it.

Final take on Jedify’s enterprise AI context graph

Jedify isn’t promising a magic agent. It’s selling the context graph for enterprise AI that those agents need before they stop embarrassing themselves in production.

That’s a smarter pitch than most. The next question is whether Jedify can turn early design-heavy deployments into a repeatable product and keep its edge while bigger platforms build their own context layers.

Read how Exponent Energy raised ₹200 crore to expand its rapid-charging platform for commercial EVs, using a full-stack system that combines batteries, chargers, and energy management to cut charging times and keep fleet vehicles moving.

FAQ

• What funding did Jedify raise? Jedify raised a $24 million Series A. Norwest led the round, with S Capital VC and Cerca Partners returning, Oceans Ventures joining, and Snowflake investing strategically as part of a broader product integration plan.
• How does Jedify’s product actually work? It connects enterprise systems through APIs and builds a semantic context graph. That layer helps AI agents reason over business-specific data and definitions. In practice, the platform can turn plain-English questions into structured queries. It can also generate recurring reports and feed outside agents through its Contextual MCP Server.
• Who are Jedify’s founders? Jedify was founded by Assaf Henkin, Adi Elimelech, and Erik Shani. Henkin previously co-founded Kontera and later Sproutt, while Shani previously co-founded Fyllo. The team has spent more than 15 years building around data and AI.
• Is Jedify an enterprise search company or an AI infrastructure company? It looks closer to AI infrastructure than classic enterprise search. The company is building a context layer for agents — one that spans structured data, unstructured knowledge, permissions, and semantic definitions — which puts it nearer to the enterprise knowledge graph and agent-enablement category than to a simple search box.

Hoola Health runs neighbourhood paediatric clinics in Bengaluru, and this funding news matters because the startup is trying to fix a common problem: everyday child healthcare in India is still scattered across big hospitals, solo clinics, and one-off therapy centres. The company has raised $5 million in a round led by Peak XV’s Surge, with W Health Ventures and angels Ashish Gupta, Abhishek Goyal, and Bijou Kurien also backing the round. Founded in Bengaluru in 2024 by Deeksha Senguttuvan, the startup will use the money for new-market expansion, its tech stack, and scaling its integrated care model.

Here’s the pitch in one line: don’t send parents into a giant hospital for routine vaccinations and consults. Growth checks and therapy follow-ups can happen at a child-first clinic.

What is Hoola Health and how does it work?

Hoola Health — formerly BabyMD — is building a full-stack paediatric care model with offline clinics at the centre and digital continuity around them. A parent can book an in-clinic visit or use online consults. They can keep track of vaccinations and growth, then return for developmental assessments or therapy inside the same care setup instead of bouncing between unrelated providers. The company is also building digital records for vaccinations and prescriptions. It also tracks growth and developmental progress.

The care menu is broader than a standard neighbourhood paediatric clinic. Besides consultations and vaccinations, BabyMD’s service pages describe developmental assessments and speech and behavioural support. It also offers occupational therapy, nebulisation, allergy screening, sleep support, mental well-being counselling, nutrition help, and lactation support. That turns Hoola from a “see the doctor when the baby has a fever” business into a repeat-use care model that can stay relevant over years, not days.

The customer experience is designed to feel less clinical. The clinics are open 7 days a week, and the company handles records and follow-ups. Its ₹999-a-year membership plan offers priority booking and online consult access. It also includes discounts and a dedicated care manager who handles reminders and check-ins. That’s a smart detail. Parents don’t just need a doctor; they need the admin mess taken off their plate.

There’s also a basic operational choice that says a lot about the brand: well-baby visits are physically separated from sick-baby visits to reduce cross-infection risk. Its earlier positioning also included 24/7 AI-assisted access to doctors and specialists. That combination — clinic plus digital touchpoints plus continuity — makes Hoola more ambitious than a regular paediatric OPD.

Who founded Hoola Health and what traction does it have?

The founding story

Senguttuvan started BabyMD in 2024 after years in healthcare and technology, and her framing is simple: parents were stuck choosing between crowded hospitals with long waits and fragmented local care that rarely went beyond the basics. The company began with one clinic and a promise to make paediatric care feel “closer, calmer, and kinder.” The origin story fits the product now — a neighbourhood clinic model built around repeat use, not hospital-level drama.

The rebrand to Hoola Health is also telling. BabyMD worked if the business was mostly about infants and newborn support. Hoola is meant to stretch across more stages of childhood, and the company wants to serve children across a wider arc of growth.

Why Senguttuvan looks like a credible builder

Senguttuvan isn’t a first-principles outsider learning healthcare from scratch. Before BabyMD, she was Head of Digital Transformation at Kauvery Hospital, where she worked on patient engagement and operational readiness. Earlier, she held product and strategy roles at Tata Communications and spent time in Tata group management tracks. She also brings a strong academic résumé: Wharton for her MBA, IIM Kozhikode for management studies, and NIT Tiruchirappalli for engineering.

That mix matters here. Hoola isn’t just a clinic roll-up. It needs consumer empathy and healthcare ops discipline. It also needs enough product sense to make records, scheduling, follow-ups, and remote access actually work. Senguttuvan’s background fits that brief better than a founder coming purely from finance or generic consumer internet.

The early signals

Hoola already serves more than 20,000 families and gets more than 60% of monthly visits from returning families. More than 60% of new patients come in through word of mouth, which is one of the few growth channels that really means something in primary care. Nearly 35% of revenue comes from developmental therapies. That’s a useful clue.

The company currently operates five clinics in Bengaluru, with centres listed in Bellandur, Electronic City, HSR Layout, Kasavanahalli Road, Varthur, and Yelahanka. The next target is aggressive: 30 more clinics across Bengaluru, Hyderabad, and Delhi NCR over the next 2 years. That’s a real expansion plan, not a vague national-growth line.

The round and the rivals

This round brings in $5 million from Peak XV’s Surge, alongside existing backer W Health Ventures and angels Ashish Gupta, Abhishek Goyal, and Bijou Kurien. The cash will go toward entering new markets and upgrading technology. It will also help scale the integrated care model the company is already using in Bengaluru.

On direct competition, Hoola isn’t alone. Butterfly Learnings has built a more developmental-therapy-heavy model and raised Rs 32 crore in a Series A round in April 2024, while Gurugram-based Babynama raised $700,000 in February 2025 with a more digital-first paediatric care pitch. The legacy alternative, though, is still bigger than either startup competitor: parents piecing together hospital OPDs, local paediatricians, and separate therapy providers. Hoola’s bet is that integrated, recurring care in a child-first clinic can beat that patchwork on convenience and retention.

Why does Hoola Health funding matter now?

The obvious reason is footprint. Hoola wants to go from a Bengaluru network to a multi-city business, and physical clinics are expensive. You need doctors and therapists. You also need local ops, scheduling systems, inventory discipline, and enough patient density to keep each centre productive. This round gives the company room to do that without pretending software alone can solve paediatric care.

But the more interesting part is the revenue mix. A clinic chain built mostly on one-off consults can look busy and still be fragile. Hoola’s repeat visits and therapy revenue suggest something stronger — a family relationship business. That’s probably what investors are buying: predictable repeat behaviour and more services per household. The model can also deepen over time as children age.

There’s a brand point here too. Senguttuvan has said paediatric care in India has been “fragmented for too long,” and that parents don’t want to go through a hospital for routine consultations and vaccinations. Hoola’s answer is “neighbourhood clinics where clinical excellence and a human experience go hand in hand.” It’s a good line. The hard part now is proving that the warmth scales with the footprint.

Is India ready for more child-first clinics like Hoola Health?

The market tailwind is real, even if different reports measure different slices of it. IMARC estimates India’s pediatric healthcare market reached $461.3 million in 2025 and could grow to $680.8 million by 2034. Grand View Research, looking specifically at pediatric hospitals, pegs the India market at $5.275 billion in 2023 and projects it to reach $8.004 billion by 2030, with 6.1% CAGR. However you cut it, parents are spending more on specialised child health and providers are building more focused capacity around it.

Policy is moving in the same direction. The Ayushman Bharat Digital Mission is designed to create interoperable digital health infrastructure, and by May 2026 the government was talking about more than 100 crore health records linked with ABHA. For a startup like Hoola, that digital backbone makes continuity of care a lot more realistic than it was a few years ago.

Public spending priorities help too. India’s 2026-27 health budget raised National Health Mission allocation to ₹39,390 crore, with the ministry explicitly highlighting maternal and child health and primary healthcare delivery. NHM planning documents for 2026-27 still keep child health and immunisation inside the core deliverables. That doesn’t automatically hand startups a win, but it does mean Hoola is building into a system where prevention, immunisation, and longitudinal records are getting more policy attention, not less.

Investor interest across Indian healthcare also hasn’t gone away. At the bigger end of the market, Manipal Health filed for an up to $1.17 billion IPO in March 2026. That’s not directly comparable to a paediatric clinic startup. But it does show capital still likes scaled healthcare assets when the model looks durable.

What to watch after Hoola Health funding

Hoola Health funding gives the company enough capital to try something bigger than a nice local clinic brand. It can now test whether a child-first, integrated paediatric care model travels across cities without losing the trust that seems to be driving its early growth.

The next thing to watch is simple: can Hoola open new centres fast enough and keep repeat behaviour high? Can it make its digital layer genuinely useful instead of decorative? If it can, this won’t just be another clinic expansion story. It could become one of the more interesting primary-care builds in Indian healthcare.

Read how Exponent Energy raised ₹200 crore in funding to expand its rapid-charging platform for commercial EVs, combining batteries, chargers, and energy management into a full-stack system designed to keep fleet vehicles on the road with minimal downtime.

FAQ

• What is the Hoola Health funding round? Hoola Health raised $5 million in June 2026. Peak XV’s Surge led the round, with existing investor W Health Ventures and angel investors Ashish Gupta, Abhishek Goyal, and Bijou Kurien also participating.
• How does Hoola Health work for parents? It works as a blended paediatric care model built around neighbourhood clinics plus digital support. Parents can use it for consultations and vaccinations. They can also use it for developmental checks, therapy, and follow-ups, while the company keeps records for things like growth tracking, prescriptions, and immunisation history.
• Who founded Hoola Health? The company was founded in Bengaluru in 2024 by Deeksha Senguttuvan. Before starting BabyMD, which later rebranded to Hoola Health, she worked in healthcare and technology, including a digital transformation role at Kauvery Hospital, and studied at Wharton, IIM Kozhikode, and NIT Tiruchirappalli.
• Is Hoola Health a hospital company or a healthtech startup? It’s closer to a paediatric primary-care and clinic startup with a digital layer than to a hospital operator. The company’s model is built around recurring family care — everyday consults, vaccinations, developmental services, and records — rather than high-acuity inpatient care.

Exponent Energy builds rapid-charging systems for commercial electric vehicles, and it has now raised ₹200 crore ($21.1 million) to scale that model. The pitch is straightforward: fleet operators don’t have hours to spare when a vehicle needs power, even if EV economics look attractive on paper. Founded in 2020 in Bengaluru by Arun Vinayak and Sanjay Byalal Jagannath, Exponent Energy will use the new capital to enter more cities, add vehicle categories, and keep developing its charging tech.

What is Exponent Energy and how does it work?

Exponent Energy sells a tightly integrated charging stack for commercial EVs — not just a charger, and not just a battery. Its system combines the battery pack inside the vehicle and the charger at the station. The connector links the two. On top of that, Exponent ONE handles financing and asset management, so OEMs and fleet operators can source vehicles, power them, and manage the energy layer through one setup instead of stitching together vendors on their own.

The technical bit matters here. Exponent had to redesign every part of the charging system to get to a 15-minute full charge while still using regular LFP cells. The stack includes a battery management system and a virtual cell model. It also uses a dynamic charging algorithm, plus offboard thermal management. That’s the company’s core claim: fast charging without wrecking battery life the way conventional rapid-charging approaches often do.

It also isn’t trying to lock drivers into a closed loop forever. Exponent offers a 3,000-cycle warranty, and its vehicles can use Exponent stations, public chargers, and home charging points. That interoperability matters more than the headline charge time. Commercial operators care about uptime and fallback options just as much as peak speed.

The company is stretching the same logic across formats. Its platform already covers autorickshaws and cargo three-wheelers. It offers retrofit options for some CNG and LPG autos, and it has started talking up 1.5 MW charging for buses. That broadens the story from “nice charging trick” to “serious commercial vehicle infrastructure bet.”

Who founded Exponent Energy and what has it built?

From Ather to a charging company

Arun Vinayak and Sanjay Byalal Jagannath started Exponent Energy after both left Ather Energy. Vinayak had been a founding partner and chief product officer at Ather, which gives him credibility in EV product development. Jagannath brought operating experience too, with time at Ather and earlier work in supply chain and operations at HUL. That combination — product plus operations — fits the kind of hardware-heavy business Exponent is trying to build.

They launched Exponent in 2020 with a different angle from most EV startups. Instead of becoming another vehicle maker, they went after the energy bottleneck around commercial fleets. It makes sense. In India, the vehicle isn’t the whole problem. The refueling experience is.

The rollout is no longer theoretical

This isn’t still in lab-demo mode. Exponent began commercial operations in March 2023, and its own network now spans 4 cities with 162+ charging stations. More than 2,000 vehicles are already on the road using its tech, with 3,15,000+ charging sessions completed and over 90,00,000 km logged. Those aren’t giant numbers yet, but they show the model has moved beyond pilots.

The early OEM ties help. Exponent has worked with Altigreen and Montra Electric on cargo three-wheelers. It later expanded with Omega Seiki Mobility into passenger three-wheelers. That matters because Exponent isn’t trying to win consumers one charging session at a time. It’s trying to be embedded in the vehicle programs themselves.

The funding stack — and who it’s up against

The new ₹200 crore round was co-led by 360 ONE Asset and TDK Ventures. Hitachi Ventures also joined. Existing investors Eight Roads Ventures, Lightspeed, 3one4 Capital, AdvantEdge VC, and YourNest came back in. YourNest, which backed Exponent early, added another $4 million through its Continuum Fund. That pushes total funding since 2020 to $65.7 million. Exponent had previously raised $26.4 million in a Series B round led by Eight Roads Ventures in December 2023.

The investor mix says a lot. This was 360 ONE Asset’s first investment in the EV sector, and Hitachi Ventures’ first energy-sector investment in India. TDK Ventures, already on the cap table, made a follow-on investment. That’s not tourist capital. Investors think Exponent has built something hard enough to defend.

Competition is real, though. SUN Mobility attacks the same downtime problem through battery swapping and has 630+ active swap stations in India. ChargeZone comes from the public-network side, with 13,500+ charging points across 26 states. The old-school alternative is slower depot charging, which is cheaper to start with but often painful for high-utilisation fleets. Exponent’s edge is that it isn’t a pure public charging network, and it isn’t a swapping player either. It’s a closed-loop battery, charger, and OEM integration model aimed squarely at commercial usage.

Why does Exponent Energy’s new round matter?

Because this is the ugly part of the business.

Proving a 15-minute charge in a handful of deployments is hard. Scaling that across cities, vehicle formats, service teams, hardware reliability, and financing products is much harder. Exponent will use the money for city expansion, new vehicle categories, and more R&D. That’s exactly where a company like this needs capital once the first wave of pilots is over.

For customers, the round should mean broader coverage and a more usable network. That’s the real test. Fast charging only changes commercial fleet economics when it’s available where the vehicles actually run — depots, urban corridors, and eventually highways. The company is also building more around Exponent ONE, so the pitch isn’t just “charge faster.” It’s “buy, finance, charge, and manage the vehicle through one operator.”

The investor pitch is blunt, and useful. Sumit Jain of 360 ONE Asset said, “Exponent is solving the hard problems in commercial EV adoption – balance between cost, practicality and ability for operators to access the incredible TCO advantage offered by the EV paradigm — all through its full-stack ultra fast-charging platform that spans both battery and a purpose-built charging ecosystem.” Arun Vinayak put it more clearly: the round comes at a defining moment, and Exponent 2.0 is meant to build a “category defining energy company” for electric mobility.

How big is India’s EV charging market getting?

India’s charging buildout is still early, but the direction is obvious. The IEA expects the country’s public charging points to rise from 75,000 at the end of 2024 to around 375,000 by the end of 2030. To get there, India would need to add roughly 50,000 public charging points a year through 2030. The same outlook ties that expansion to support for a stock of under 3 million electric light-duty vehicles, while PM E-DRIVE includes ₹20 billion for public charging stations and support for 22,100 chargers for electric four-wheelers through March 2026.

The commercial side is why Exponent is interesting. In an earlier funding round, Eight Roads said commercial vehicles make up roughly 10% of vehicles but account for about 70% of on-road energy use. That’s why fleet charging keeps pulling serious capital. India is also pushing electric buses through the PM eBus Sewa scheme, which targets 10,000 buses under a PPP model, while the Ministry of Power’s 2024 charging guidelines put more weight on connected and interoperable infrastructure, including battery swapping.

Money is moving across the whole stack, not just into vehicle brands. Ola Electric recently raised about ₹780 crore through a qualified institutional placement. IFC also backed GFCL EV with about $50 million for a battery materials facility in Gujarat. That points to the next bottlenecks: charging networks, battery inputs, and the infrastructure layers that decide whether EV adoption actually scales.

What to watch next for Exponent Energy

Exponent Energy has enough proof now to be taken seriously, but not enough scale to relax.

This round gets interesting here. If the company can turn its integrated charging stack into a denser city network and win more OEM programs, it could become a real piece of India’s commercial EV backbone. If not, it risks becoming another clever hardware startup that worked in pockets and stalled in expansion. For Exponent Energy, the next 12 to 18 months are about one thing: whether fast charging can become routine, not remarkable.

Read how Uni Seoul raised ₹35 crore in a Series A round co-led by Riverwalk Holdings and Sauce.vc to scale its Korean-inspired lifestyle retail brand, combining affordable gifting products, immersive stores, and an offline-first growth strategy across India.

FAQ

• What funding did Exponent Energy raise? Exponent Energy raised ₹200 crore, or about $21.1 million, in June 2026. The round was co-led by 360 ONE Asset and TDK Ventures, with Hitachi Ventures joining and existing backers like Lightspeed, Eight Roads Ventures, 3one4 Capital, AdvantEdge VC, and YourNest participating again.
• How does Exponent Energy charging work? Exponent Energy uses a full-stack setup that links the battery pack, charger, connector, and software controls into one system. Its stack includes a battery management system and virtual cell model. It also uses a dynamic charging algorithm, plus offboard thermal management, which enables a 15-minute full charge while still using regular LFP cells.
• Who founded Exponent Energy? Exponent Energy was founded in 2020 by Arun Vinayak and Sanjay Byalal Jagannath in Bengaluru. Vinayak previously helped build Ather Energy as a founding partner and chief product officer, while Jagannath brought experience from Ather and earlier supply-chain and operations work.
• What market is Exponent Energy in? Exponent Energy sits in the commercial EV charging and energy infrastructure market, with a focus on fleets rather than casual consumer charging. It competes against slower depot charging, public-network operators like ChargeZone, and battery-swapping players such as SUN Mobility, but its bet is that integrated plug-in fast charging can work better for many commercial operators.

Uni Seoul is a Pune-based D2C brand that sells Korean-inspired lifestyle and gifting products through an offline-first retail model. Its new Uni Seoul funding round brings in ₹35 crore, or about $3.6 million, in a Series A co-led by Riverwalk Holdings and Sauce.vc, with Panthera Peak Ventures and existing angel investors also joining in. It’s chasing a simple gap: India has lots of gifting and impulse-buy retail, but not many chains that package Korean-inspired design and affordable pricing under one brand. Founded in 2023 by Gaurav Karmani and Mohit Khurana, the startup now wants to turn that gap into a national roll-up story.

What is Uni Seoul and how does it work?

Uni Seoul is a design-led retail brand built around low-ticket, high-appeal products people buy for themselves or as gifts. Its catalogue spans more than 1,000 SKUs across plush toys, home décor, stationery, bags, travel accessories, beauty products, and other gifting items, with pricing from ₹99 to ₹2,999. Online, the brand mixes a standard storefront with shoppable short-video merchandising. Offline, it uses stores as the main discovery engine.

The customer flow is clear. You walk into a store in a premium mall or high street, browse tightly merchandised displays, pick up an impulse item like a plushie keyring, perfume, bento box, scrunchie, tumbler, or neck pillow, and check out at a price point that doesn’t need much deliberation. If you’re online, the same logic shows up through curated collections and “watch and shop” content rather than endless marketplace-style scrolling.

That sounds small. It isn’t. Uni Seoul is trying to remove the usual friction in aesthetic retail — scattered sellers, uneven quality, and no coherent brand feel — by curating the full experience itself. Its design philosophy is blunt: take everyday-use items, add Korean-inspired styling, keep them functional, and make them affordable enough to turn browsing into buying.

The stores matter more than the website here. Mohit Khurana has said the concept was built for physical retail because customers need to experience the “cuteness” aesthetic in person. That also explains the heavy emphasis on visual merchandising and extras like photobooth-style moments that turn the shop into a social visit, not just a transaction.

Who built Uni Seoul and what makes the company credible?

The founding story

Uni Seoul was started in 2023 in Pune by childhood friends Mohit Khurana and Gaurav Karmani. The spark came from Khurana’s exposure to Asian variety retail during his travels, especially brands like Miniso, Daiso, and Artbox, which turned ordinary household and gifting products into fun, design-first purchases. His read was that India still lacked a scaled version of that format with a stronger Korean aesthetic and more accessible pricing.

That origin story matters because Uni Seoul doesn’t look like a random trend chase. It’s a deliberate retail thesis: take the emotional pull of K-culture, strip away the imported-premium pricing, and rebuild the model for Indian malls and high streets. Franchise-led expansion comes later.

Founder-market fit

Khurana’s background is unusually operator-heavy for a lifestyle brand founder. He began his entrepreneurial career in 2008 with a learning and development company. He later held leadership roles across WhiteHat Jr, Vedantu, Lentra, BYJU’S, and Narayana Group, and also founded Incisive Training. That kind of resume doesn’t scream plush toys and stationery on paper, but it does point to sales discipline, store economics awareness, and scale habits.

Karmani brings the piece that retail brands can’t fake for long — on-ground merchandising and expansion instinct. He has more than a decade in retail, and that lines up with Uni Seoul’s bias toward physical stores, premium locations, and experience-led execution. If Khurana is the growth-and-operations side, Karmani is much closer to brand buildout and store rollout.

Execution so far

For a startup founded in 2023, the early rollout has been fast. Uni Seoul now operates 15 stores across Bengaluru, Pune, Mumbai, Hyderabad, Ahmedabad, and Nashik. In an earlier interview, Khurana said the Church Street flagship in Bengaluru was clocking trading densities of around ₹4,000 per sq. ft. That’s a useful signal.

The company’s format mix is also getting sharper. It has talked publicly about combining company-owned and franchise-led models. Its five-year target is 500 retail touchpoints — aggressive, yes, but at least tied to a specific operating structure rather than vague omnichannel talk.

Fundraising details

This Series A brings in ₹35 crore and was co-led by Riverwalk Holdings and Sauce.vc, with Panthera Peak Ventures and existing angel investors participating. The money is earmarked for offline expansion across premium malls and high streets in Tier I cities. It also covers entry into quick-commerce platforms and stronger supply-chain plus private-label capabilities. Before this, Uni Seoul had raised ₹5 crore in seed funding on April 22, 2025, in a round led by Sauce VC.

Karmani’s own explanation is more useful than the usual founder boilerplate: the brand wants more SKUs, tighter visual-merchandising standards across stores, and a product experience that feels the same whether a customer walks into Bengaluru or finds the brand online. The job of this round is standardization, not just expansion.

Competition and positioning

Uni Seoul isn’t entering an empty market. Khurana has directly cited Miniso, Daiso, and Artbox as inspiration, and Indian shoppers already know the broad category through value lifestyle chains like Miniso and Mumuso, plus Korean-inspired digital players like Myoto. Those rivals have already trained the customer to browse for affordable, design-forward, Asian-aesthetic products.

Uni Seoul is trying to draw a line in positioning. It leans harder into Korean-inspired gifting, beauty, plush, décor, and stationery under one house brand, while also pitching itself as “Korean-inspired, Indian-made.” That matters because it gives the company a shot at better control over sourcing and margins. It also helps with localization and replenishment. Investors are betting that this mix — affordable design, offline discovery, private label, and quick-commerce adjacency — can build a defensible consumer brand instead of just another novelty store chain.

What does Uni Seoul funding change now?

The immediate change is pace. Uni Seoul wants to go from 15 stores to more than 50 in the near term, and that kind of jump breaks weak retail systems fast. More capital lets it secure better locations and carry deeper inventory. It also helps tighten execution standards across stores before inconsistency creeps in.

The more interesting shift is channel expansion. Uni Seoul is preparing to launch on Blinkit, Zepto, and Swiggy Instamart, which makes a lot of sense for gifting items and low-consideration beauty or accessory purchases. If the brand can translate store-led discovery into quick-commerce replenishment and impulse buys, it stops being just a mall brand. It starts acting more like an always-available retail layer.

There’s also a private-label angle here. When a retail startup says it wants to strengthen supply chain and private label, that usually means one thing: better gross margins and tighter control over what actually lands on shelves. For Uni Seoul, that could be the difference between a cute concept and a real chain.

Why is Uni Seoul funding landing at the right time?

Part of the answer is cultural. K-pop, K-dramas, and K-beauty have moved well beyond niche fandom in India, and Uni Seoul is using that spillover effect across categories, not just skincare. The company’s source article pegs India’s K-beauty market at $1.5 billion by 2030, with a 25.9% CAGR. This isn’t just a meme trend anymore.

Part of it is retail infrastructure. JLL says India recorded 3.1 million sq. ft. of retail leasing in Q1 2026, with about 46.1 million sq. ft. of new supply expected by 2030. D2C brands accounted for 7% of leasing activity in the quarter, and high streets captured 48% of transactions as brands kept chasing physical visibility even when mall supply stayed tight. That’s almost a perfect backdrop for a brand obsessed with premium malls and busy high streets.

Quick commerce is turning into a real distribution muscle, not a side experiment. Redseer expects quick commerce to account for 10% of all branded retail sales by 2030, up from 1% in 2024, with beauty and personal care particularly well placed on the channel. Uni Seoul isn’t a pure beauty company, but it sells the kind of small-ticket, fast-grab products that fit dark-store economics and impulse behavior.

So yes, this round is about one brand. It also says something bigger: investors still believe digitally native consumer brands can win offline in India — if they give shoppers a reason to leave the app and walk into the store first.

Conclusion

The smartest read on Uni Seoul funding is that investors aren’t just backing Korean-inspired gifting. They’re backing a retail format. Uni Seoul now has to prove that its mix of visual merchandising, private label, premium locations, and quick-commerce access can scale without losing the charm that got customers in the door in the first place. The test is simple: whether 50 stores still feel like one brand.

Read how HyperNorm AI raised $2.2M in seed funding to help wealth advisors make faster portfolio decisions through an AI-powered intelligence platform that connects market events, client portfolios, and actionable recommendations in real time.

Uni Seoul funding FAQ

• What is the latest Uni Seoul funding round? Uni Seoul has raised ₹35 crore in a Series A round co-led by Riverwalk Holdings and Sauce.vc. Panthera Peak Ventures and existing angel investors also participated, and the company had previously raised a ₹5 crore seed round on April 22, 2025.
• How does Uni Seoul work as a retail brand? Uni Seoul runs an offline-first lifestyle and gifting model built around Korean-inspired design. Customers shop through physical stores and an online storefront that includes shoppable video merchandising. Products span categories like décor, plush, stationery, travel accessories, and beauty.
• Who founded Uni Seoul? Uni Seoul was founded in 2023 by Mohit Khurana and Gaurav Karmani. Khurana came in with experience across entrepreneurship, edtech, and SaaS operating roles, while Karmani brought more than 10 years of retail experience — a useful mix for a brand trying to scale stores fast.
• Is Uni Seoul a K-beauty brand or a broader lifestyle company? It’s broader than K-beauty. Beauty is one part of the mix, but the company sells more than 1,000 SKUs across gifting and lifestyle categories, with price points running from ₹99 to ₹2,999 and a strong emphasis on everyday impulse purchases.

HyperNorm AI builds decision intelligence software for registered investment advisors and wealth managers. The HyperNorm AI funding round brings in $2.2 Mn, or about ₹19.5 Cr, as the startup tries to turn that idea into a bigger US business. The pitch is pretty clear: advisors don’t need more raw market data. They need faster judgment on what matters right now. Founded in 2024 by Keyur Faldu and Peeyush Jain, the company is betting that explainable AI for portfolio decisions is finally becoming something firms will pay for.

What is HyperNorm AI and how does it work?

Here’s the simple version.

HyperNorm AI watches market events, links them to actual client portfolios, and tells an advisor which accounts need attention first. Instead of dumping charts and alerts into another dashboard, it ranks portfolios by urgency and risk exposure. Client mandate is part of that. Then it explains what changed, why it matters, and what action may fit the account.

That workflow is where the product gets more interesting. The system maps macro shifts, earnings events, sentiment moves, and other signals to a firm’s book in real time. It doesn’t stop at surfacing the event. It pushes toward a recommendation layer, filtered through risk profile, goals, and mandate, and gives advisors scenario analysis before they act.

There’s also a practice-management angle baked in. HyperNorm includes meeting intelligence that turns client conversations into tasks and follow-ups. Possible portfolio actions are part of that. It also offers goal monitoring and AI research assistants for themes and stocks. Market-and-macro signal tracking is in there too. In plain English, it’s trying to compress the work between “something happened” and “here’s what I should tell this client.”

Before a tool like this, an advisor might bounce between portfolio software, notes, research terminals, emails, and CRM records just to decide who needs a call. HyperNorm is selling the opposite experience: one decision layer sitting on top of that mess. The startup puts a few bold numbers on its own product pages — 70M+ events analysed in near real time, 65% directional accuracy on stock and fund price predictions, and 4x advisor capacity without adding headcount. The harder test is whether RIAs keep expanding usage after the first pilot.

Who founded HyperNorm AI and what traction does it have?

This didn’t come out of nowhere.

How HyperNorm AI started

HyperNorm AI was founded in 2024 by Keyur Faldu, the CEO, and Peeyush Jain, the CTO. They built it around a very specific problem inside wealth management: firms already have tons of information, but they still struggle to convert noise into timely, defensible action for each client.

Faldu summed that up in the source article: “Modern wealth management does not suffer from a lack of information. It suffers from a lack of clarity on what matters now and what action should be taken.”

That’s a sharp framing.

Why the founders fit this market

Faldu’s background leans hard into AI and research. He has worked at Meta, McKinsey, and Embibe, studied computer science at IISc Bangalore, and has been involved in explainable AI and knowledge-graph research. That matters because HyperNorm’s whole sales story rests on causal reasoning and explainability, not just flashy large-language-model output.

Jain brings the product-and-systems side. Before HyperNorm, he worked at Verloop, Embibe, and BT, and studied computer science at IIT Kanpur. His track record is in building and scaling software products and engineering teams. That’s exactly what a startup needs when it’s trying to move from an early product into a repeatable SaaS business.

Put those two profiles together and the founder-market fit is solid. One side understands AI systems deeply. The other knows how to ship and scale software.

Is the product live, and is anyone paying?

Yes. And that’s one of the more important details in this round.

HyperNorm rolled out a beta version to advisors, portfolio managers, and CIOs in late 2025, and early revenue started coming in during that phase. It now serves paying customers across the US, Singapore, and India. That doesn’t tell us customer count or revenue size, but it does tell us this isn’t a pure concept-stage company.

The business model is recurring. HyperNorm charges a mix of per-seat licensing and usage-based pricing. That’s a logical setup for advisor software. If a firm adds more advisors, covers more portfolios, or routes more workflows through the system, the revenue base should expand with it.

Who backed the round, and who is HyperNorm really up against?

The seed round brought in $2.2 Mn from Capital 2B, SenseAI Ventures, Boundless Ventures, iOPEX Technologies, and angel investors including Amit Sheth and Bhavin Manek. HyperNorm will use the money for product development, US and international expansion, and bigger engineering and AI research teams.

Competition is real. Nevis is pushing an AI platform for wealth management with a heavy focus on workflow automation and client-service tasks. Advisor operations end to end are part of that. Altruist comes from a different angle — more custodian and infrastructure stack than pure decision engine — with account opening, trading, billing, reporting, and portfolio management in one platform.

That gives HyperNorm a distinct lane, at least for now. It’s less about becoming the entire operating system for an RIA and more about becoming the intelligence layer that tells the advisor what deserves action and why. The legacy alternative is even messier: separate portfolio tools, custodial systems, CRMs, research products, analyst notes, and a lot of human synthesis in spreadsheets and inboxes. If HyperNorm wins, it’ll be because it cuts through that fragmentation without asking firms to rip out everything they already use.

What does HyperNorm AI funding change now?

It’s only $2.2 million. That’s not huge by fintech standards.

But for this kind of company, the amount makes sense. HyperNorm isn’t building a consumer finance app that needs massive marketing spend. It’s building enterprise-style software for advisors, where sharper product execution and trust matter more than flashy growth headlines. A seed round this size can fund a serious engineering push, especially if the founders are disciplined about scope.

Timing matters too. HyperNorm already has paying users in 3 markets, so the money isn’t just financing an idea deck. It’s meant to help the company deepen the product and sell more aggressively in the US, where RIAs are a large, fragmented, software-buying customer base.

There’s a quiet signal in the investor mix too. You’ve got venture firms, a strategic corporate backer in iOPEX Technologies, and angels with AI credibility. That suggests investors aren’t only buying the wealthtech narrative. They’re buying the view that explainable, decision-first AI could become core infrastructure for advisory work.

Why are investors chasing wealth management AI?

Wealthtech isn’t short on vendors. What changed is the urgency.

The global wealth management software market was valued at $6.3 billion in 2025, is estimated at $7.2 billion in 2026, and is projected to reach $18.8 billion by 2033. That kind of growth doesn’t happen because firms suddenly love buying software. It happens because the job itself is getting harder. Advisors are managing more complex portfolios across equities, fixed income, structured products, and other asset classes, while clients expect faster answers and more personalization.

AI adoption is already moving well past curiosity. In one 2026 industry survey, 89% of wealth management respondents said they use AI and data analytics to support decision-making. Nearly half said they use real-time insights for automated decision-making and business strategy, while 40% reported using predictive models and dashboards. That doesn’t mean every firm is AI-native. It does mean the budget conversation has already started.

You can see the money following that trend. In November 2025, wealthtech startup Wealthy raised ₹130 crore to build out AI-powered tools and digital infrastructure for mutual fund distributors. HyperNorm is smaller and earlier, but it’s riding the same broad shift: more advisory workflows are being rebuilt around AI, and investors don’t want to miss that cycle.

What should you watch after HyperNorm AI funding?

Seed rounds are cheap talk. Distribution isn’t.

HyperNorm AI funding gives the startup time to hire, refine the product, and push harder into the US. What matters next is whether it can turn early paid usage into durable RIA adoption, especially in firms that already have crowded software stacks and little patience for another tool. If the startup starts winning deeper workflow ownership instead of narrow pilot budgets, this gets more interesting.

Read how Sandstone raised a $30M Series A led by Lightspeed Venture Partners to help in-house legal teams manage requests, workflows, drafting, and reviews through an AI-powered operating system built for corporate legal departments.

FAQ

• What funding did HyperNorm AI raise? HyperNorm AI raised $2.2 Mn in seed funding, which is about ₹19.5 Cr. The round included Capital 2B, SenseAI Ventures, Boundless Ventures, iOPEX Technologies, and angel investors such as Amit Sheth and Bhavin Manek. The company plans to use the money for product work, market expansion, and team building.
• How does HyperNorm AI work for RIAs and wealth advisors? HyperNorm AI works as a decision intelligence layer for advisors. It tracks market events, connects those signals to specific client portfolios, and recommends actions that fit each client’s mandate and risk profile. Goals are part of that too. It also handles meeting follow-ups and research queries. Goal tracking is included as well. That means it’s trying to shrink both portfolio analysis work and advisor admin.
• Who are the founders of HyperNorm AI? HyperNorm AI was founded in 2024 by Keyur Faldu and Peeyush Jain. Faldu is the CEO and has worked across AI, data, and research roles at Meta, McKinsey, and Embibe, while Jain is the CTO and has held product and engineering roles at Verloop, Embibe, and BT. Their backgrounds line up closely with what HyperNorm is trying to sell: explainable AI software for financial decision-making.
• Is HyperNorm AI a wealthtech startup or an enterprise AI startup? It’s really both, but wealthtech is the cleaner label. HyperNorm sells software into wealth management firms, specifically RIAs and advisors, so its immediate market is advisor infrastructure and portfolio intelligence. At the same time, the core product is built around enterprise AI, causal reasoning, and explainability. That’s why the company sits in that overlap between fintech software and applied AI.

Sandstone builds in-house legal AI software that turns scattered requests from Slack, email, and ticketing tools into structured workflows for corporate legal teams. The Brooklyn startup has raised a $30 million Series A led by Lightspeed Venture Partners, just 6 months after a $10 million seed round led by Sequoia in January 2026. The pitch is simple: in-house lawyers are buried under operational work that arrives through too many systems at once, and most legal AI products still aim at law firms instead. Sandstone was founded in 2025 by Nick Fleisher, Jarryd Strydom, and Liam Germain to go after that gap.

That matters because legal AI is getting crowded fast. Harvey and Legora have soaked up giant funding rounds by selling AI tools for private practice, while Anthropic has spent 2026 pushing Claude deeper into legal workflows. Sandstone is taking a different route. It wants to become the operating layer for in-house teams at small and midsized businesses, where the pain is less about courtroom reasoning and more about intake, routing, drafting, review, and keeping the whole department from turning into one giant shared inbox.

What is Sandstone and how does its in-house legal AI work?

Sandstone is an in-house legal AI platform built around intake and workflow execution. A request comes in through Slack, Gmail, Outlook, Jira, or another business system. Sandstone’s agent reads the request and asks follow-up questions if key facts are missing. Then it classifies the matter and routes it to the right person, template, or workflow. Instead of making legal teams force the company onto a new portal, it plugs into the tools people already use.

That’s the product distinction. Sandstone isn’t trying to be a chat window that spits out legal answers in isolation. It aggregates the business context around a request — prior agreements, playbooks, workflow history, and system data. Then it surfaces that context before a lawyer starts work. The platform also includes reporting so legal leaders can see what kinds of requests are coming in, where work is slowing down, and which processes are becoming repeatable.

The workflow looks a lot more operational than glamorous. A salesperson drops a note into a legal Slack channel. Sandstone figures out whether it’s an NDA, a DPA, a vendor review, or something else. It gathers missing details, checks against encoded playbooks, and proposes the next path — self-service, template output, or assignment to counsel. That removes the manual work that chews up a legal team’s day before the actual legal judgment starts.

It’s also being built as a system product, not a single feature. Sandstone supports more than 50 instant integrations, plus agentic workflows that move matters from intake to execution. That means drafting and first-pass review can sit on top of the same intake layer. So can routine redlining and legal analysis.

Who founded Sandstone and why are the founders credible?

The founding story

Sandstone came out of a very specific view of where legal software breaks. CEO Nick Fleisher spent years at McKinsey leading legal technology work, advising law firms and in-house teams on operations, data, AI, and talent. He saw the same pattern again and again: more work was moving in-house, but the lawyers hired to handle strategy and risk were still stuck triaging requests and hunting for context across fragmented systems.

Strydom had lived the same mess from the inside. Before Sandstone, he worked as in-house counsel at a fast-growing B2B software company and also practiced in private firms. That gave him a more grounded read on the day-to-day work than you usually get from a pure software founder. Germain rounded out the founding trio on the technical side. He’s listed as Sandstone’s CTO and helped build the company alongside Fleisher and Strydom in 2025.

One detail stands out: Fleisher and Germain were first-year roommates at Penn before they became co-founders. It doesn’t make the product better on its own, obviously. But for investors, long-standing founder relationships still matter when a company is trying to move this fast.

Why these founders fit the problem

Founder-market fit is strong here. Fleisher knows legal tech buying behavior and enterprise process pain from the advisory side. Strydom knows what legal departments actually deal with when requests come in through every possible channel. Sandstone’s broader team includes former Big Law lawyers, legal engineers, and operators with backgrounds tied to companies like Microsoft, Google, Amazon, NetDocuments, Robin, Akin Gump, Paul Hastings, and Davis Polk. That’s unusually dense domain experience for a company this young.

Fundraising and early signals

The new round is big by any standard for a startup founded in 2025. Sandstone announced its $30 million Series A on Tuesday, June 9, 2026. Lightspeed Venture Partners led the round. Existing backers Mantis VC, SV Angel, Operator Partners, Kearny Jackson, Daybreak Ventures, Litquidity Ventures, and others joined in. This followed a $10 million seed round in January 2026 led by Sequoia.

That’s $40 million raised within roughly 6 months of its seed launch. Sandstone hasn’t publicly shared customer counts or revenue, but it has been explicit about its first target market: in-house legal departments at small and midsized businesses. In a market full of broad AI claims, that narrow starting point is a good sign.

How Sandstone compares with Harvey, Ironclad, and the old way

This is where Sandstone gets interesting. Harvey and Legora are the obvious headline names in legal AI, but they’ve built momentum around law firms and research-heavy workflows. Sandstone isn’t chasing that same buyer or workflow. It’s closer to the operational layer for in-house teams — the stuff between a business request showing up and legal work getting resolved.

Its more direct competition comes from legal intake and workflow products aimed at corporate legal departments, including Coheso, Checkbox, Argos, Dazychain, and Streamline AI. Those products all promise some version of a legal front door: centralized intake, triage, routing, and visibility. Then there are bigger adjacent incumbents like Ironclad, which owns more of the contract lifecycle management side for in-house teams.

Sandstone’s differentiation is that it’s pitching a context-rich workflow layer rather than just intake forms or contract tooling. Strydom’s own explanation gets at that: AI only helps if it understands the actual workflow in detail. That’s also the investor bet. Lightspeed isn’t just backing “legal AI.” It’s backing specialized vertical software for a part of the legal stack that still feels underbuilt.

Why does this in-house legal AI funding matter?

Because this round says something about what investors think the next wave of legal software will look like.

The first wave of legal AI money went hard at law firms, research, and drafting. Fair enough. That’s where the headlines were, and that’s where massive budgets already existed. But Sandstone’s Series A suggests investors also see a big opening inside corporate legal departments, especially teams that don’t have giant ops budgets or patience for long implementation cycles.

It also matters because Sandstone raised the round absurdly fast. A seed in January 2026. A $30 million Series A in June 2026. That kind of velocity usually means one of two things: either the market is overheating, or the company is showing investors a product and customer response that feels unusually sharp. Sometimes it’s both.

For customers, the implication is practical. If Sandstone executes, small and midsized legal teams could get a system that behaves less like another dashboard and more like an extra operator sitting between the business and legal. That won’t replace counsel. But it could cut a lot of the routing, summarizing, and repeat drafting that makes in-house work drag.

How big is the in-house legal AI market?

Big enough that a focused startup can build a serious company without winning the whole legal industry.

Grand View Research estimates the global legal AI market was worth $1.45 billion in 2024 and could reach $3.90 billion by 2030, a 17.3% annual growth rate. Its broader legal technology estimate is even larger: $28.7 billion in 2025, growing to $69.7 billion by 2033. In the U.S. alone, legal technology spending was estimated at $7.3 billion in 2024, with corporate legal departments counted as a meaningful end-use segment.

The adoption curve is moving fast too. Anthropic’s 2026 legal guide cites an FTI Consulting and Relativity general counsel report showing 87% of general counsel now report genAI use inside their teams, up from 44% the year before. The same guide says summarization, contract clause identification, and transcription are already among the top in-house legal use cases. That lines up almost perfectly with where Sandstone is starting.

The spending pressure is real. Thomson Reuters says average law firm spending on technology grew 9.7% in 2025, while spending on knowledge management tools rose 10.5%. It also found firms with a visible AI strategy were 3.9 times more likely to report at least one form of ROI. That’s law-firm data, sure, but the client pressure behind it is coming from corporate legal buyers who want more work handled faster and cheaper.

Sandstone still has a lot to prove. Legal departments are cautious buyers. Workflow software can get messy fast. Frontier model companies are creeping deeper into the same budget lines. But the startup’s bet on in-house legal AI feels sharper than a lot of “AI for lawyers” pitches because it starts with the boring work that actually eats the day.

Read how BazaarNow raised ₹72 crore led by Peak XV Partners to build a vernacular-first quick commerce platform tailored for tier-2 and tier-3 India, combining local-language search, assisted ordering, and in-house logistics.

FAQ

• What funding did Sandstone raise? Sandstone raised a $30 million Series A announced on June 9, 2026. Lightspeed Venture Partners led the round, and it came only 6 months after a $10 million seed round in January 2026 led by Sequoia. That makes the company’s fundraising pace unusually fast even by legal tech standards.
• How does Sandstone’s product work for in-house legal teams? Sandstone works like an AI intake and workflow layer for legal departments. It pulls requests from tools like Slack, Outlook, Gmail, and Jira. It asks for missing context, classifies the matter, routes it to the right owner or playbook, and helps with tasks like drafting, review, redlining, and reporting inside one connected system.
• Who founded Sandstone? Sandstone was founded in 2025 by Nick Fleisher, Jarryd Strydom, and Liam Germain. Fleisher previously led legal technology work at McKinsey. Strydom had worked as in-house counsel and in private practice, and Germain serves as CTO — a mix that gives the company both legal-ops insight and product-building depth.
• What market is Sandstone targeting? Sandstone is selling into the in-house legal AI and legal workflow automation market, with an initial focus on small and midsized business legal departments. That niche sits inside a broader legal tech market that Grand View Research estimates at $28.7 billion globally in 2025, while adoption of genAI inside legal departments has already jumped sharply in 2026.

BazaarNow is a quick commerce startup that delivers groceries, fruits, vegetables, and daily essentials with a model built for India’s smaller cities. The Bengaluru-headquartered company has raised ₹72 crore led by Peak XV Partners, a BazaarNow funding round that matters because tier-2 and tier-3 grocery buying still doesn’t behave like metro quick commerce. Founded in January 2026 by former Zepto executives Priyanshu Jain, Arjun Harish, and Tarithmay Mandal, the startup is trying to solve a specific gap: people outside the big metros want convenience, but not the coupon-heavy, app-first playbook that dominates urban quick commerce.

What is BazaarNow and how does it work?

BazaarNow is basically a vernacular-first grocery app for tier-2 and tier-3 India. A customer opens the app and searches in a local language. Then they place an order for staples or fresh produce, and BazaarNow routes it through its own logistics stack for fulfillment. The company also supports assisted shopping, including call-to-order. That matters in markets where digital comfort levels vary a lot from one household to the next.

That product design shows what the founders think the real bottleneck is. It’s not just delivery speed. It’s discovery and trust. It’s also ease of ordering for people who may not want to type brand names in English or hunt through layers of cashback offers. BazaarNow’s AI-powered local-language search is built around that behavior. It isn’t copying a metro user journey and hoping it transfers.

BazaarNow also runs an in-house rider management and logistics system. That gives it tighter control over fulfilment in markets where address mapping, rider availability, and fresh inventory turnover can get messy fast. It’s a practical choice. In smaller cities, quick commerce breaks when the back end isn’t tuned to local conditions.

Who founded BazaarNow and why are investors betting now?

Founded by three former Zepto operators

BazaarNow was started by Priyanshu Jain, Arjun Harish, and Tarithmay Mandal, all former Zepto executives. Their roles weren’t random either. Jain worked in consumer strategy. Harish handled revenue planning, and Mandal worked on revenue pricing and customer strategy. That’s a sharp mix for a business where pricing, repeat behavior, assortment, and order density decide whether the model works or burns cash.

Why this team fits the problem

Jain studied at IIT Bombay, and Harish brings more than a decade of consumer-tech and operating experience. The fit is obvious. These are operators who’ve spent time inside one of India’s fastest-scaling quick commerce companies. They’ve seen the demand levers and the unit-economics pain up close.

That matters because BazaarNow isn’t trying to invent a new consumer category. It’s trying to rebuild the stack for a different user base. Jain’s own framing gets to the point: grocery shopping in tier-2 and tier-3 India is “more local, more habitual and much more value-conscious.” That’s not a minor insight. It changes merchandising and interface design. It also shapes delivery promises, and even whether discounts help or confuse the customer.

Traction and the round details

BazaarNow launched operations in January 2026 and has already scaled to more than 1,800 orders per day per store in its pilot city. On LinkedIn, the company lists itself at 11-50 employees and has been hiring for network expansion. The physical rollout is already underway.

Peak XV Partners led the ₹72 crore round, with participation from Whiteboard Capital and Antler. Angels in the round included Meesho founder Vidit Aatrey, AppsForBharat founder Prashant Sachan, Chaayos founder Nitin Saluja, Zeo Health co-founder Siddharth Gadia, FirstClub founder Ayyappan R, and other operators. ETStartup reported total funding to date at ₹80 crore including a pre-seed round.

BazaarNow will use the new capital for expansion, supply-chain strengthening, and technology. Peak XV’s Abhishek Mohan put the investment thesis plainly: the team isn’t just copying metro quick commerce into the rest of India, it’s building something more local and more disciplined. Investors aren’t paying for speed alone here. They’re paying for adaptation.

How BazaarNow compares with Blinkit and Instamart

Here’s the hard part. BazaarNow is entering a market where Blinkit, Zepto, and Swiggy Instamart already dominate mindshare, and where BB Now, Flipkart Minutes, and Amazon Now are also pushing in. Most of the big players were built around dense urban demand first. BazaarNow’s pitch is narrower and maybe smarter. Start with smaller cities. Keep pricing simple. Stock local assortments, and add assisted commerce instead of assuming every shopper wants a slick self-serve app.

The real incumbent, though, isn’t another app. It’s the kirana store and the familiar neighborhood buying habit. Mint reported that local grocers often stock around 1,000 items, while quick-commerce platforms can offer up to 8,000. But smaller-city customers still care a lot about value and routine. BazaarNow is trying to sit between those two worlds — more selection and convenience than a kirana, but more local feel than a metro-first quick commerce app.

Why BazaarNow funding matters for the next stage

This BazaarNow funding round gives the company something early-stage commerce startups rarely get enough of: time to build the boring parts properly.

Fresh produce is unforgiving. Smaller-city delivery is operationally messy. A vernacular-first product only works if inventory, search, routing, and rider operations all line up. So when BazaarNow says it will spend on supply chain and tech, that’s the core product.

It also tells you Peak XV isn’t chasing a vanity growth story. The fund is backing a startup with a clear wedge. It’s going after the next 700-plus Indian cities with a different service model. If BazaarNow can keep order density healthy while staying relevant to local buying habits, it won’t need to out-Blinkit Blinkit. It just needs to own a market others still treat as an extension of metro demand.

How big is the India quick commerce market outside metros?

India’s quick commerce market is no longer a niche side bet. Redseer pegged the category at $10 billion-plus in GMV with 30 million-plus monthly users in 2025. Its 2026 projections show the market reaching about $25 billion, with 50 million-plus average monthly transacting users and presence in 250-plus cities.

But the metros still dominate. Redseer’s 2026 data says the top 8 metros account for 70-75% of quick commerce activity, and its earlier work noted that 90-plus non-metro cities contribute just over 15% of GMV today. That gap is exactly why startups like BazaarNow exist. The upside is huge if somebody can crack demand aggregation, local assortment, and delivery economics outside the top urban clusters.

There’s another reason the timing makes sense. Quick commerce already commands roughly 70% of India’s online grocery market, yet online grocery itself is still only around 2% of total grocery retail. Redseer also estimates that 85-90% of mass grocery retail still runs through traditional trade. So yes, quick commerce is growing fast. But it has barely started to penetrate the broader grocery market — especially in Bharat.

Final take on BazaarNow funding

BazaarNow funding isn’t just another seed-to-Series-A style startup story with ex-unicorn operators and a fresh deck. It’s a bet that India’s next big grocery habit may be built outside the metros, with local language search, call-assisted ordering, cleaner pricing, and tighter supply execution. The next thing to watch is whether BazaarNow can turn that thesis into repeat behavior across multiple smaller-city clusters without losing the discipline that got Peak XV to write the check in the first place.

Read how Evotrex raised a $30M Series A to bring its hybrid RV trailer to market, combining battery power, solar energy, and onboard generation to make extended off-grid travel more practical and comfortable.

FAQ

• What funding did BazaarNow raise? BazaarNow raised ₹72 crore in a round led by Peak XV Partners. Whiteboard Capital and Antler also joined, along with angels such as Vidit Aatrey, Prashant Sachan, Nitin Saluja, Siddharth Gadia, and Ayyappan R; total funding to date is reported at ₹80 crore.
• How does BazaarNow’s quick commerce product work? BazaarNow runs a vernacular-first grocery app aimed at tier-2 and tier-3 users, with AI-powered local-language search and an in-house logistics system. It also supports assisted ordering, including call-to-order. That’s a useful tweak for households that want convenience without a fully self-serve app experience.
• Who founded BazaarNow? BazaarNow was founded in January 2026 by Priyanshu Jain, Arjun Harish, and Tarithmay Mandal, all former Zepto executives. Their backgrounds span consumer strategy, revenue planning, and pricing/customer strategy, which gives the team strong operating fit for quick commerce.
• Why are investors interested in tier-2 and tier-3 quick commerce now? Because the category is already large, but the next wave of growth hasn’t been won yet. Redseer projects India quick commerce at about $25 billion in 2026, while non-metro cities still contribute a relatively small share of GMV, leaving a lot of room for companies that can tailor assortment, pricing, and operations to local demand.