Magic Leap

Liquid AI

Magic Leap

Hardware and software platform for augmented reality. Originally consumer-focused (the dream was AR glasses for everyone), now pivoted to enterprise.

Magic Leap sells the Magic Leap 2 headset to businesses for use in healthcare, manufacturing, defense, and training. Revenue comes from hardware sales ($3,299 per unit for the ML2), software licensing, and enterprise service contracts.

The company also licenses its spatial computing technology to other companies. The pivot from consumer to enterprise dramatically shrank the addressable market but targeted buyers who have real budgets, real use cases, and real willingness to pay — unlike consumers who were not going to spend $2,300 on AR goggles.

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.

Magic Leap

Rony Abovitz was a biomedical engineer who had previously founded and sold a surgical robotics company called MAKO Surgical for $1.65 billion. In 2010, he started Magic Leap with a vision that bordered on science fiction: lightweight augmented reality glasses that could overlay photorealistic digital objects onto the real world.

Not a screen strapped to your face — actual holograms that looked like they existed in your living room. The early demos were jaw-dropping.

A whale jumping out of a gymnasium floor. A tiny elephant dancing on your palm.

Google led the first major funding round. Then Alibaba invested.

Then AT&T. Then Saudi Arabia's sovereign wealth fund.

Between 2014 and 2019, Magic Leap raised $3.5 billion without shipping a single product. The hype was unprecedented.

The secrecy was legendary. Journalists weren't allowed inside the headquarters.

Employees signed NDAs that would make the CIA blush.

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.

Magic Leap

The pivot to enterprise under CEO Peggy Johnson (former Microsoft executive) refocused the company on markets where AR has immediate, measurable value. Healthcare became the lead vertical — surgeons can see patient scans overlaid on the actual patient during procedures.

Defense contracts provided large, predictable revenue from government budgets. Partnerships with companies like SyncThink (concussion assessment) and Brainlab (surgical navigation) gave Magic Leap embedded distribution in existing enterprise workflows.

The Magic Leap 2 was purpose-built for enterprise — lighter, more comfortable for extended wear, and with dimming technology that works in well-lit operating rooms and factories. Getting FDA clearance opened the medical market in a way competitors haven't matched.

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.

Magic Leap

The $3.5 billion already spent is a sunk cost that no realistic enterprise revenue can quickly recoup. Competition from Microsoft HoloLens 2 (which had a multi-year head start in enterprise AR), Meta's Quest Pro, and Apple Vision Pro means Magic Leap is fighting well-funded incumbents.

The consumer AR dream is effectively dead — Apple's $3,499 Vision Pro proved that even Apple can't make consumer AR work yet at accessible prices. Employee trust was damaged by years of overpromising and under-delivering under the previous CEO.

The AR market itself is still nascent — total enterprise AR headset sales across all vendors number in the low hundreds of thousands, not millions. And the fundamental physics problem: making AR glasses that are lightweight, high-resolution, wide-field-of-view, and affordable remains an unsolved engineering challenge.

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.

Magic Leap

Magic Leap 2 — enterprise AR headset with the largest field of view in the industry (70 degrees), dimming technology for use in bright environments, and FDA 510(k) clearance for medical use. Spatial computing platform for building enterprise AR applications.

Healthcare applications — surgeons using AR overlays during procedures, medical training simulations. Manufacturing applications — remote assistance, 3D work instructions, quality inspection with AR overlays.

Defense applications — contracted with the US military for AR-assisted battlefield visualization. Developer tools and SDK for building custom AR applications on the Magic Leap platform.

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.

Magic Leap

Investors include Google, Alibaba Group, AT&T, Saudi Arabia's Public Investment Fund, Temasek Holdings, and Andreessen Horowitz. Total funding exceeded $3.5 billion across multiple rounds, making Magic Leap one of the most heavily funded private tech companies ever.

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.