Flipkart

Liquid AI

Flipkart

Marketplace model — Flipkart connects third-party sellers with consumers and takes a commission on every transaction, typically 5% to 25% depending on the category. Also operates a first-party retail business buying and reselling products directly, particularly in electronics and fashion.

Revenue streams include seller commissions, advertising (brands pay to appear in search results and banners), logistics services (Flipkart's in-house delivery network, Ekart, also serves other companies), and Flipkart Plus (loyalty program). The company runs periodic mega-sales — Big Billion Days — that generate billions in GMV over a few days, essentially India's version of Prime Day.

Liquid AI

Liquid AI builds foundation models, the big general-purpose brains that power chatbots and other AI tools. The difference is efficiency.

Their models, called Liquid Foundation Models, are designed to do more with far less memory and computing power. Companies pay to use them, either through a cloud API or by running the models on their own machines.

That second option matters. A bank or a hospital often cannot send private data to someone else's server.

Liquid AI lets them keep the model in-house. The pitch to a customer is basically this.

You get strong AI without renting a mountain of expensive chips.

Flipkart

Sachin Bansal and Binny Bansal — not related despite the shared surname — both worked at Amazon in its early days. They moved back to India in 2007 and started Flipkart as an online bookstore, literally copying the Amazon playbook from 1994.

Their first order was a book called "Leaving Microsoft to Change the World," which is almost too on-the-nose. But India in 2007 was nothing like America in 1994.

Internet penetration was low, credit cards were rare, delivery infrastructure was nonexistent, and most people had never bought anything online. The Bansals had to invent solutions for problems Amazon never faced.

Cash-on-delivery became the default payment method. They built their own logistics network because India Post couldn't handle e-commerce volumes.

Every assumption that worked in the US had to be rebuilt from scratch for India.

Liquid AI

Liquid AI is a spinout from MIT's Computer Science and Artificial Intelligence Laboratory, better known as CSAIL. The core science came from Ramin Hasani, who spent his PhD studying the nervous system of a tiny worm called C.

elegans. That worm has just 302 neurons and still manages to move, hunt, and react to its world.

Hasani and his collaborators asked a simple question. What if you built an AI that worked more like those neurons and less like a giant static network?

The answer was the liquid neural network, a model whose internal wiring keeps adjusting even after training is done. The team incorporated the company in 2023.

Daniela Rus, who runs CSAIL and is one of the most respected robotics researchers alive, came on as a co-founder. So did Mathias Lechner and Alexander Amini, both longtime research partners of Hasani.

Flipkart

Category expansion from books to electronics to fashion to groceries — each new category brought new customers and increased purchase frequency. Cash-on-delivery removed the trust barrier for first-time online shoppers.

Building Ekart logistics gave Flipkart delivery reach into tier-2 and tier-3 cities that no third-party carrier could serve. Big Billion Days mega-sale events trained Indian consumers to shop online with massive discounts.

Acquisition strategy — bought Myntra (fashion), Jabong (fashion), eBay India (marketplace), and PhonePe (payments) to consolidate the market. Walmart's $16 billion acquisition in 2018 provided unlimited capital to compete with Amazon India.

Mobile-first design because most Indian consumers access the internet through smartphones, not computers.

Liquid AI

The growth angle is size, or the lack of it. Most frontier models are so heavy they only run in data centers.

Liquid AI aims for models light enough to run on a phone, a car, or a factory robot. That opens doors the giants cannot easily reach.

The AMD partnership pushes the same idea. AMD makes chips, and it wants efficient models that show off its hardware.

So AMD led the Series A and became both an investor and a distribution partner. Liquid AI also releases open models to researchers, which builds a following before the sales team ever makes a call.

Flipkart

Amazon India is a relentless competitor with Jeff Bezos publicly committing billions to win the market. Regulatory uncertainty — Indian e-commerce regulations around foreign ownership, deep discounting, and marketplace rules change frequently and can disrupt business models overnight.

Profitability has remained elusive despite massive scale — the combination of deep discounts, logistics costs, and competitive spending keeps margins thin. The Walmart acquisition created enormous pressure to demonstrate returns on a $16 billion investment.

Founder drama — Sachin Bansal was forced out after the Walmart deal over allegations of personal misconduct, creating leadership turbulence. And the fundamental challenge of e-commerce in India: a price-sensitive market where consumers will switch platforms for a 50-rupee discount.

Liquid AI

The honest problem is Goliath. OpenAI, Google, Anthropic, and Meta have raised tens of billions of dollars between them.

Liquid AI has raised under $300 million. The transformer architecture those giants use is battle-tested and improving fast.

Liquid AI has to prove its different approach not only works but keeps working as models get bigger. Betting against the most successful design in AI history is bold.

It is also the kind of bet that ends in either a great acquisition or a quiet shutdown, with not much room in between.

Flipkart

Flipkart marketplace — India's largest e-commerce platform with 150+ million products across dozens of categories. Myntra — fashion and lifestyle subsidiary, India's leading online fashion retailer.

Ekart logistics — in-house delivery network covering 90%+ of India's pin codes. Flipkart Wholesale — B2B platform for kiranas (mom-and-pop shops) to source inventory.

PhonePe — originally a Flipkart subsidiary, now independent, one of India's largest digital payments platforms processing billions of transactions. Flipkart Plus — loyalty program offering free shipping and early sale access.

Flipkart Quick — hyperlocal delivery for groceries and essentials.

Liquid AI

The main products are the Liquid Foundation Models, a family that ships in several sizes so a customer can pick the smallest one that does the job. The second generation, LFM2, arrived in 2025, including LFM2-VL vision-language models built for phones, laptops, wearables and embedded chips.

The company has leaned hard into on-device AI rather than the cloud. The focus is always the same.

Match the quality of a much larger model while using a fraction of the memory and power.

Flipkart

Key investors before the Walmart acquisition included Tiger Global Management, SoftBank Vision Fund, Accel Partners, Naspers, and Tencent. Walmart acquired 77% of Flipkart for $16 billion in 2018, the largest e-commerce acquisition in history at the time.

Liquid AI

It started with a $37.5 million two-stage seed in December 2023 at a $303 million valuation, from OSS Capital, PagsGroup, Automattic (the company behind WordPress), Samsung Next and others. Angels included GitHub co-founder Tom Preston-Werner, Shopify's Tobi Lütke and Red Hat co-founder Bob Young.

Then AMD Ventures led the $250 million Series A in December 2024, which is unusual because AMD is a chipmaker, not a typical venture fund. That backing gave Liquid AI both money and a hardware ally.

When a major chip company writes the lead check on an efficiency-focused model maker, it signals a bet that the future of AI is not just bigger, it is leaner.