Uber

Liquid AI

Uber

Uber is a marketplace that connects riders with drivers. You request a ride through the app, the nearest driver accepts, picks you up, drops you off, and Uber takes a cut — typically 25-30% of the fare.

The driver keeps the rest. Uber doesn't own any cars.

They don't employ any drivers. They built a company worth well north of $150 billion by being the middleman with a really good app.

The model expanded into Uber Eats (food delivery, same concept — restaurants cook, drivers deliver, Uber takes a cut), Uber Freight (connecting truckers with shippers), and advertising. The advertising business is quietly enormous — Uber has data on where millions of people go every day, and brands will pay handsomely for that.

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.

Uber

The idea started in Paris in December 2008. Travis Kalanick and Garrett Camp were at the LeWeb tech conference and couldn't find a cab.

Camp had been obsessing over the idea of summoning a car with your phone. He bought the domain UberCab.com, built a prototype, and recruited Kalanick to help run it.

The first version launched in San Francisco in 2010 as a black car service — not the cheap rideshare everyone knows today. You'd tap a button, a Lincoln Town Car would show up, and it cost about 1.5x a regular taxi.

Ryan Graves answered a tweet from Kalanick looking for an "entrepreneurial product manager" and became employee number one. He ran operations while Kalanick was still finishing up another startup.

Graves would later become CEO briefly before handing the reins to Kalanick. The app launched with just a handful of cars in San Francisco.

It worked so well that riders couldn't shut up about it.

The real inflection point came in 2012 when they launched UberX — regular people driving their own cars at prices cheaper than taxis. That one decision turned Uber from a luxury black car service into a verb.

Within two years, UberX was available in hundreds of cities and the word "Uber" had entered the dictionary.

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.

Uber

Uber's early growth strategy was beautifully ruthless. They'd roll into a new city, launch without asking permission, and deal with the regulatory fallout later.

Kalanick's stated version, which became known as Travis's Law, was that the product was so much better than a taxi that riders would defend its right to exist. In practice it meant launching first and arguing later.

The playbook was simple: launch in a new city, give massive discounts to riders (sometimes completely free rides), pay drivers signing bonuses and guaranteed hourly rates, and flood the zone until the city was hooked. Then slowly raise prices and cut driver incentives once the market was locked.

They burned billions doing this but it worked — by 2016 Uber was in 500+ cities across 70 countries.

They also weaponized word of mouth with referral codes. Every rider could give free rides to friends.

Every new driver got a bonus for signing up. The viral loop was insane.

At peak growth, Uber was adding a new city every day.

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.

Uber

Where do you even start? Uber might have faced more simultaneous existential crises than any company in history.

Regulatory wars. Taxi unions, city governments, and entire countries tried to shut Uber down.

London revoked their license. France arrested two executives.

Uber was banned, unbanned, re-banned, and sued in dozens of jurisdictions simultaneously.

The toxic culture. In 2017, former engineer Susan Fowler published a blog post describing rampant sexual harassment, discrimination, and HR cover-ups at Uber.

It went nuclear. Investigation after investigation followed.

Board members resigned. Executives were fired.

Travis Kalanick's ouster. After the culture scandals, a leaked video of him berating an Uber driver, and a federal investigation into stolen trade secrets from Google's self-driving car unit Waymo, the board forced Kalanick to resign as CEO in June 2017.

Dara Khosrowshahi came in from Expedia to clean things up.

The cash burn was legendary. Uber lost $8.5 billion in 2019 alone.

They subsidized rides so heavily that riders were paying less than the actual cost of the trip. The company did not turn its first operating profit until the second quarter of 2023 — fourteen years after it was founded.

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.

Uber

Uber Rides is the core product — get from A to B in someone else's car. UberX is the standard option, Uber Black is the premium black car tier, UberXL fits bigger groups, and Uber Reserve lets you schedule rides in advance.

Uber Eats is the food delivery arm and competes directly with DoorDash and Grubhub. Uber Freight is the logistics play — basically Uber for semi-trucks, connecting carriers with shippers.

Uber for Business lets companies manage employee rides and meals. Uber now also offers package delivery, grocery delivery, and even boat rides in some cities.

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.

Uber

Benchmark Capital, First Round Capital, Menlo Ventures, Jeff Bezos, Goldman Sachs, Google Ventures, Saudi Arabia's Public Investment Fund, SoftBank, Toyota, PayPal co-founder Peter Thiel, Tencent

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.