What it sells
Scale AI scientists whose own breakthroughs accelerate the next.
Business model breakdown
Buyer: who owns the budget?
UnverifiedML/AI research and R&D leaders wanting automated experimentation.
Trigger: what makes them buy now?
Cost and time of human research iteration; claims AI scientists invented ML methods beating state of the art at a fraction of the cost.
Workflow: what inputs become what output?
Customer defines a problem; a fleet of AI Scientists hypothesise, set evals, run experiments, review each other work and push leaderboards, with every claim traced to evidence.
Distribution: how it reaches customers
Early access by email request (contact@rekursiv.ai); GitHub and blog on discoveries; hiring founding engineer/scientist.
Funding history and coverage
| Round date | Stage | Amount | Investors | Source |
|---|---|---|---|---|
| — | Y Combinator Summer 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.