Thesis
Thesis is a YC Fall 2025 (F25) company. Based in San Francisco, CA, USA. Team of 2.
About Thesis
Summary
Thesis builds an AI-powered discovery engine that lets researchers and builders construct machine learning models to accelerate scientific and technical breakthroughs. The platform treats discovery as a systematic engineering problem rather than a trial-and-error process, replacing the slow, resource-intensive work of manual hypothesis generation and model development. The target users span science and industry teams seeking to reach results of the scale of AlphaFold or the Transformer architecture, faster and more reproducibly.
From the Y Combinator listing
The AI discovery engine.
Thesis is building the engine for discovery. Our aim is to help uncover the next AlphaFold or build the next Transformer, faster, more systematically, and at scale. We treat discovery not as a matter of luck, but as an engineering challenge to be solved. Thesis lets anyone build powerful machine learning models for anything they can imagine. The mission is to democratize invention by putting machine intelligence in everyone’s hands. Every major breakthrough in the next decade, in science, industry, or AI, will be built on systems like Thesis. We intend to define that category.
Facts
- B2B / B2B
- San Francisco, CA, USA
- 2
- Active
- Early
Founders (2)
- Luigi Charles
- Sergio Charles
Score every batch against your own thesis
GPAgent's sourcing agent reads every company in a batch, scores each one against your fund's thesis in a private workspace, and lines up the founders worth meeting before Demo Day. You decide who to contact. Your scores, notes, and pipeline never appear on these pages.
How Accelerator intelligence works