Ramp

Liquid AI

Ramp

Ramp makes money from interchange fees — the 1.5-2.5% that merchants pay on every credit card transaction. Unlike consumer cards that share interchange with users through rewards, Ramp gives a flat 1.5% cashback and keeps the rest.

The real business model is becoming the financial operating system for companies: once a company uses Ramp's card, they also use Ramp for expense management, bill pay, accounting automation, and procurement — all of which increase switching costs and customer lifetime value.

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.

Ramp

Eric Glyman and Karim Atiyeh had previously co-founded Paribus, a tool that automatically got refunds when prices dropped on things you'd already bought. Capital One acquired Paribus in 2016.

The experience taught them something: businesses were terrible at managing their spending, and the tools they used — corporate credit cards from Amex and Chase — were designed to encourage spending, not control it.

In 2019, they launched Ramp with a contrarian premise. Every other corporate card company made money by getting businesses to spend more (higher spend = more interchange revenue).

Ramp would make money from interchange too, but would actively help businesses spend less through automated expense management, duplicate subscription detection, and price negotiation.

The pitch to CFOs was irresistible: get a corporate card with 1.5% cashback, and we'll also find you an average of 5% savings on your total spending through our software. The card was the wedge.

The expense management platform was the real product.

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.

Ramp

Ramp grew by selling savings, not credit. The pitch to finance teams was: "We'll save you more money than we cost you." In an era when every company was looking to cut costs, Ramp offered a corporate card that came with a free expense management platform that actively found savings.

CFOs couldn't say no.

The product-led approach bypassed traditional enterprise sales cycles. A finance manager could sign up for Ramp, issue cards, and start seeing savings within a week — no six-month procurement process, no IT integration project.

The free expense management tools were so good that companies switched from Concur, Expensify, and Brex just for the software, with the card as a bonus.

Speed of execution was the differentiator. Ramp shipped features faster than any competitor.

They went from a corporate card to a full financial operations platform in three years. Every quarter, Ramp launched features that competitors took a year to build.

By 2024, over 25,000 businesses were using Ramp and the company was processing tens of billions in annualized spend.

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.

Ramp

Brex is the obvious competitor. Brex launched two years before Ramp with a similar corporate card concept and had the first-mover advantage.

But Brex pivoted away from small businesses to focus on enterprise in 2022 — angering thousands of existing customers — while Ramp doubled down on serving companies of all sizes. The competition has become a case study in strategic focus versus strategic pivots.

The "spend less" positioning has a mathematical ceiling. If Ramp's AI genuinely helps companies spend less, the interchange revenue from those companies also decreases.

There's an inherent tension between the mission (reduce spending) and the revenue model (earn a percentage of spending). Ramp has managed this by growing the customer base faster than individual customer spending declines.

Enterprise sales is the next frontier and it's expensive. Moving upmarket from startups and mid-market companies to Fortune 500 enterprises requires a sales team, implementation support, and enterprise features that cost real money to build and sell.

Ramp has been investing heavily in enterprise capabilities, but competing with Amex and JP Morgan for large corporate accounts is a different game than winning startups.

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.

Ramp

Ramp Corporate Card is the core — unlimited physical and virtual cards with 1.5% cashback and built-in spend controls. Ramp Expense Management automates receipt matching, policy enforcement, and reimbursements.

Ramp Bill Pay handles vendor payments and AP automation. Ramp Procurement manages vendor contracts and purchase approvals.

Ramp Intelligence uses AI to identify duplicate subscriptions, negotiate better rates, and flag wasteful spending. Ramp Flex offers flexible payment terms for businesses that need to extend their payables cycle.

Ramp Accounting automates close processes and syncs with QuickBooks, Xero, NetSuite, and Sage.

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.

Ramp

Founders Fund, D1 Capital, Stripe, Goldman Sachs, Thrive Capital, General Catalyst, Khosla Ventures

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.