Humanoid robots
Thesis is an applied AI lab accelerating the frontier of AI discovery.
We're making it possible for researchers anywhere to discover the next Transformer or invent the next AlphaFold.
Mission
Our mission is to make state-of-the-art AI discovery 10x faster and 10x cheaper. The big labs are racing to get there, but their need to productize and turn a profit has already weighed them down. Thesis embraces rapid experimentation and novel fundamental research. Our singular focus, outcome-driven mindset, and early results give us confidence that we can get there first.
Results
Thesis is state-of-the-art on OpenAI’s Machine Learning Engineering benchmark (MLE-Bench).
MLE-Bench tests how well AI systems can train ML models autonomously, a first step toward self-improving systems. We achieved this result in the record time of 1 month and with only $10k in compute. Agents will get you far, but not far enough. Our methods mix old school with new, and have already outperformed teams of researchers at Microsoft, Google, Meta, and Baidu.
Team
Luigi and Sergio are brothers. Back in 2021, Sergio wrote about a future where AI could create its own algorithms. With today's foundation models, that future is suddenly within reach.
Sergio worked on AI R&D at Google X, Nvidia, and Stanford’s AI Lab (SAIL). He has published work at NeurIPS and ICML, and has worked with Chelsea Finn and Andrew Ng.
Luigi built Sphere, a fintech company that processes billions of dollars every year in global cross-border payments. Sphere was recently valued at $250 M+ in its Series A round.
10 Year Vision
The holy grail of AI is building self-improving systems that, guided by human creativity, enable breakthroughs and new paradigms achieving state-of-the-art results under resource constraints.
In the limit, our engine will expand beyond ML to every domain of science, from computational biology, to theoretical mathematics and physics. Thesis will autonomously discover new knowledge and become the driving force behind humanity’s scientific progress.
Our Ask
We collaborate with leading institutions, startups, and independent researchers around the world. If you’re interested in what we’re building, please get in touch: [ask@thesislabs.ai](mailto:ask@thesislabs.ai)
How did your company get started? (i.e., How did the founders meet? How did you come up with the idea? How did you decide to be a founder?)
We are brothers and have been building things together our whole lives. We grew up in the Caribbean with our mom, obsessed with math and computers. Sergio taught himself calculus from MIT OpenCourseWare at 12, published mathematics as a teenager, and later worked on AI and robotics at Stanford, Nvidia, and Google X. Luigi studied math and CS at Columbia, then co-founded a payments company where he scaled engineering from zero to billions in transaction volume.
As kids, we built worlds in Minecraft. Now, we’re building robots.
What is your long-term vision? If you truly succeed, what will be different about the world?
We sit at the dawn of a new era in civilization. AI is beginning to solve problems across science and mathematics that were previously impenetrable. Yet this intelligence is still largely confined to the screen.
We believe the next frontier is physical. Our goal is embodied artificial general intelligence.
When we succeed, billions of intelligent robots will work alongside humans, performing useful work and expanding what humanity is capable of.
