Lyft

Liquid AI

Lyft

Lyft takes a commission on every ride — typically 20-25% of the fare. The driver gets the rest plus tips.

Revenue also comes from service fees charged to riders, subscription products (Lyft Pink at $9.99/month for discounted rides), and bike and scooter rentals in select cities.

The economics are straightforward but brutal. Each ride has a driver who needs to be paid enough to show up, a rider who needs a low enough price to choose Lyft over alternatives, and Lyft's cut has to cover platform costs, insurance, customer support, and hopefully generate profit.

The margins are thin — gross margins hover around 45%, and after operating costs, the company has been unprofitable for most of its existence.

Advertising is an emerging revenue stream. Lyft Media places ads on in-car tablets, the Lyft app, and bike-share stations.

It's small but growing and high-margin compared to the ride business.

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.

Lyft

Logan Green was obsessed with transportation. Growing up in Los Angeles — the car capital of America — he spent his college years studying why American cities were so car-dependent and how ride-sharing could fix it.

In 2007, at age 23, he started Zimride (named after Zimbabwe, where he'd seen communal minibus sharing), a long-distance carpooling platform for college campuses.

John Zimmer was a hospitality management student at Cornell who joined Zimride early on. The two realized that while Zimride worked for planned trips, there was no good solution for on-demand rides within a city.

Uber had launched UberCab in 2010 as a black car service, but it was expensive — a luxury product.

In 2012, Green and Zimmer pivoted Zimride into Lyft, launching a peer-to-peer ride-sharing service in San Francisco. The differentiator was branding: Lyft was friendly, casual, approachable.

Riders sat in the front seat. Cars had giant pink fuzzy mustaches (later replaced by a glowing dashboard amp).

Drivers fist-bumped passengers. It felt like getting a ride from a friend, not hailing a cab.

They eventually sold the original Zimride carpooling platform to Enterprise Rent-A-Car and went all in on Lyft.

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.

Lyft

Lyft's original growth strategy was being the anti-Uber. When Uber was mired in scandals — the Susan Fowler sexual harassment revelations, the "God View" privacy scandal, Travis Kalanick's combative leadership — Lyft positioned itself as the ethical alternative.

The #DeleteUber movement in 2017 sent a wave of riders to Lyft.

Market focus was another differentiator. While Uber expanded to 70+ countries, Lyft stayed focused on the US and Canada.

The theory was that winning one market deeply was better than spreading thin globally. This kept costs lower but also capped the growth ceiling.

Bike and scooter integration was the multimodal play. Lyft acquired Motivate (the largest bike-share operator in the US, running Citi Bike and others) in 2018 for $250 million, adding an entire transportation layer that Uber didn't have.

In dense urban areas, bikes often beat cars for short trips.

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.

Lyft

Uber is the problem that never goes away. Uber has 72% of the US ride-share market to Lyft's 28%.

Uber has global scale that generates massive data advantages, cross-selling opportunities (Uber Eats), and brand recognition. Every dollar Lyft spends on marketing, Uber can match and triple.

The market share gap has been stable for years, and closing it seems nearly impossible.

Profitability has been elusive. Lyft went public in March 2019 and lost money every quarter for nearly six years.

The company has cut staff aggressively — laying off 13% of employees in late 2022 and another 26% in April 2023. Only in the second quarter of 2024 did Lyft post its first profitable quarter as a public company.

Autonomous vehicles are both an opportunity and a threat. If self-driving technology works, it eliminates the biggest cost in ride-sharing: the human driver.

But Lyft sold its autonomous vehicle division (Level 5) to Toyota's Woven Planet in 2021 for $550 million. Now they partner with AV companies instead of building their own technology.

If Uber or Waymo crack autonomous rides first, Lyft could become irrelevant.

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.

Lyft

Lyft Rideshare — the core ride-hailing platform matching riders with drivers in 600+ cities across the US and Canada. Lyft Pink — a subscription program ($9.99/month) offering 5% off rides, priority airport pickups, free roadside assistance, and discounted bike/scooter rides.

Lyft Bikes & Scooters — micromobility options in select cities including the iconic Citi Bike system in New York City (operated by Lyft since 2018). Lyft Autonomous — partnerships with autonomous vehicle companies including Motional and May Mobility to offer self-driving rides in select markets.

Lyft Media — an advertising platform placing ads across Lyft's digital and physical touchpoints including in-app, in-car tablets, and bike-share stations.

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.

Lyft

Andreessen Horowitz led the Series A and was an early champion. Founders Fund invested early.

Fidelity, Alphabet (Google's parent), and Alibaba participated in later rounds — notably, Alphabet invested $1 billion in Lyft while simultaneously developing Waymo, a potential competitor. The March 2019 IPO raised $2.3 billion at a $24 billion valuation — Lyft beat Uber to the public markets by six weeks.

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.