What it sells
AI models that learn from experience
Business model breakdown
Trigger: what makes them buy now?
Science and engineering progress gated by the cost of physical experiments (drug and materials discovery).
Workflow: what inputs become what output?
Research approach: LLMs write code (program synthesis) to model a task from few examples; reached 97.9% on ARC-AGI-2 at about $12 per task; aims at hypothesis generation and data-efficient modeling for hardware engineering, drug and materials discovery.
Economics: what it saves and how it charges
UnverifiedNo product pricing; pre-commercial research lab, partnerships with researchers and hardware/biology/materials teams.
Distribution: how it reaches customers
Seeking research and engineering partnerships/collaborators via founders email; open-sourced solver.
Funding history and coverage
| Round date | Stage | Amount | Investors | Source |
|---|---|---|---|---|
| — | Y Combinator Winter 2026 | — | Y Combinator | ycombinator.com |
Profiles summarize public reporting and company websites. Business-model notes are MaxBC's reading of that material, not confirmed facts; unknowns are left blank rather than guessed. Updated 2026-10-12.