SpaceX

Liquid AI

SpaceX

SpaceX makes money three ways. First, launch services — companies and governments pay SpaceX to put their satellites into orbit.

A Falcon 9 launch costs about $67 million, which undercut the competition by 75% when it debuted. Second, Starlink — SpaceX's own satellite internet constellation, which now brings in well over $10 billion a year from more than 8 million subscribers and has quietly become the part of the business that funds everything else.

Third, government contracts — NASA pays SpaceX to ferry astronauts to the International Space Station and the DoD pays for national security launches.

The secret sauce is reusability. Before SpaceX, every rocket was used once and thrown into the ocean.

SpaceX figured out how to land the first stage booster back on Earth and fly it again. A single Falcon 9 booster has flown over 20 times.

That's like the difference between throwing away an airplane after every flight versus keeping it for decades.

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.

SpaceX

In 2001 Elon Musk was already rich from selling Zip2, and the eBay deal that would hand him roughly $180 million after taxes for his PayPal stake was still a year away. Most people in that position buy an island.

Musk decided to buy rockets. His original idea was even weirder — he wanted to send a small greenhouse to Mars called "Mars Oasis" to reignite public interest in space exploration.

He flew to Russia three times to buy refurbished ICBMs. The Russians kept raising the price and at one point literally spat on him.

On the flight home from that last failed Russia trip, Musk opened a spreadsheet and started calculating the raw material costs of building a rocket from scratch. He realized the materials were only about 3% of the typical price of a rocket.

The rest was markup, inefficiency, and monopoly pricing by companies like Boeing and Lockheed Martin. He decided to build his own.

SpaceX was founded in June 2002 in a warehouse in El Segundo, California. Musk put in $100 million of his own money.

He hired Tom Mueller, a legendary rocket propulsion engineer who had been building rocket engines in his garage as a hobby. The first rocket, Falcon 1, was supposed to be the cheapest orbital rocket ever built.

It took six years and three spectacular explosions before it finally worked.

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.

SpaceX

SpaceX's growth strategy was simple: be cheaper than everyone, then be better than everyone, then be the only option.

They started by undercutting the launch market. The United Launch Alliance (Boeing + Lockheed Martin joint venture) was charging $300-400 million per launch.

SpaceX offered $67 million. Government agencies and commercial satellite companies started lining up.

Reusability was the real game-changer. Landing a rocket booster looked like science fiction when SpaceX first attempted it in 2013.

They failed over and over — spectacular ocean landings, explosions on drone ships, near-misses. But in December 2015, a Falcon 9 first stage landed back at Cape Canaveral.

It was the first time an orbital-class rocket had ever landed after a mission. Now they do it routinely — it's almost boring.

Starlink created a completely new revenue stream. Instead of just launching other people's satellites, SpaceX launched thousands of its own.

Starlink passed 8 million subscribers and well over $10 billion in annual revenue. It turned SpaceX from a launch company into a telecom company.

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.

SpaceX

The early days nearly killed the company. SpaceX's first three Falcon 1 launches all failed.

The first one in 2006 crashed 25 seconds after liftoff due to a corroded fuel line nut. The second in 2007 reached space but the second stage shut down early.

The third in 2008 failed because the first and second stages collided during separation. Musk had enough money for one more attempt.

If flight four failed, SpaceX was dead.

Flight four worked. On September 28, 2008, Falcon 1 became the first privately developed liquid-fuel rocket to reach orbit.

Musk has said he was so stressed during that period he was throwing up regularly.

The financial pressure was existential. Musk was simultaneously funding Tesla, which was also on the brink of bankruptcy in 2008.

He had to split his last $40 million between the two companies. He borrowed money for rent.

But right at the end of 2008, NASA awarded SpaceX a $1.6 billion contract to resupply the International Space Station. That contract saved the company.

Starship development has been its own saga. The rocket has exploded multiple times during testing.

Each failure costs hundreds of millions. But SpaceX treats failures as data — they move faster by blowing things up and iterating than competitors do by being cautious.

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.

SpaceX

Falcon 9 is the workhorse — the most-launched rocket in the world. It carries satellites to orbit and astronauts to the ISS, and the first stage lands itself for reuse.

Falcon Heavy is three Falcon 9 boosters strapped together — the most powerful operational rocket in the world until Starship came along. Dragon is the spacecraft that carries astronauts and cargo to the ISS.

It's the only American vehicle currently flying humans to space. Starlink is the satellite internet service — more than 8,000 satellites in orbit delivering broadband to 100+ countries, and the business that funds much of the rest.

Starship is the big one — the tallest and most powerful rocket ever built, designed to carry 100+ people to Mars. It has flown repeatedly, including full orbital-profile flights and booster catches.

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.

SpaceX

Founders Fund, Draper Fisher Jurvetson, Google, Fidelity Investments, Valor Equity Partners, Baillie Gifford, a16z (Andreessen Horowitz), NASA (as customer/partner)

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.