Warby Parker

Liquid AI

Warby Parker

Vertically integrated direct-to-consumer eyewear. Warby Parker designs frames in-house, works directly with manufacturers, and sells through its website, app and its own stores, skipping the traditional licensing and wholesale markups.

Glasses still start at $95 including basic prescription lenses, with upgrades for progressives and special coatings. Revenue comes from prescription glasses, sunglasses, contact lenses and eye exams in stores.

What started online-only now runs mostly on physical retail, with 323 stores at the end of 2025. Net revenue was $872 million in 2025, and it was the company's first full year of net profit.

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.

Warby Parker

Dave Gilboa lost a $700 pair of glasses while backpacking before starting at Wharton, and replacing them was so expensive he spent his first semester squinting. He complained about it to classmates Neil Blumenthal, Andrew Hunt and Jeffrey Raider, and they started digging into why glasses cost so much.

The answer was Luxottica, the Italian giant that owned Ray-Ban, Oakley, LensCrafters, Sunglass Hut and Pearle Vision, the vision insurer EyeMed, and licenses for luxury brands like Chanel and Prada. One company touched almost every step from design to retail.

With a small seed check from Wharton's Venture Initiation Program, the four launched Warby Parker in February 2010, selling prescription glasses online for $95. GQ called them "the Netflix of eyewear," they hit their first-year sales target in about three weeks, and they built a waitlist of around 20,000 people.

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.

Warby Parker

The DTC playbook: build a beautiful brand, price far below incumbents, and tell a story about why the old way was a rip-off. Home Try-On, five frames mailed to try at home for free, doubled as marketing as customers posted photos asking friends to vote.

"Buy a Pair, Give a Pair" gave the brand a social mission, and by 2025 it had distributed more than 20 million pairs through its partners. Then it went physical, opening stores that now drive most sales, with 47 new stores in 2025 and about 50 more planned for 2026.

It added eye exams and Scout contact lenses to sell more to each customer, and in 2025 partnered with Google and Samsung on AI-powered smart glasses.

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.

Warby Parker

EssilorLuxottica, formed when Luxottica merged with the world's biggest lens maker, is still a giant with resources Warby Parker cannot match, and it now sells the Ray-Ban Meta smart glasses. After the 2021 direct listing the stock fell more than 70% from its highs as the direct-to-consumer bubble deflated.

Opening dozens of stores a year is capital intensive, and each one has to earn its keep. Cheaper online rivals like Zenni and EyeBuyDirect undercut it on price.

And people only buy glasses every year or two, so the business depends on keeping customers for a long time. Its big new bet, AI glasses with Google, puts it head to head with Meta.

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.

Warby Parker

Prescription eyeglasses starting at $95 including basic lenses — the product that broke the Luxottica pricing model. Home Try-On — pick five frames online, receive them in a box, try them at home for free, return what you don't want.

Progressive lenses and blue-light-filtering options for higher-end needs. Prescription and non-prescription sunglasses.

Scout contact lenses — Warby Parker's daily disposable contact lens brand. In-store eye exams with licensed optometrists.

Virtual Try-On using iPhone face-scanning technology to see frames on your face through the app.

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.

Warby Parker

Tiger Global Management led the $12.5 million Series A in 2011 and the $60 million Series C in 2013, and was still sitting on a stake worth about $850 million at the direct listing. General Catalyst led the 2012 Series B.

T. Rowe Price led the 2015 and 2018 rounds, and D1 Capital Partners and Durable Capital Partners backed the $245 million raised in 2020 at a $3 billion valuation.

American Express and J.Crew's Mickey Drexler were also early investors. The company went public on the NYSE through a direct listing on September 29, 2021.

In 2025 Google agreed to put up to $150 million into a smart glasses partnership, part of it as an equity stake.

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.