What it sells
Quant Neolab building self-improving agents from quant data
Business model breakdown
Buyer: who owns the budget?
UnverifiedResearch and post-training leads at AI labs (inferred).
Trigger: what makes them buy now?
Agents need ever-harder environments to keep improving; markets provide a moving frontier.
Workflow: what inputs become what output?
Multi-step RL environments from financial market data where agents form hypotheses, design experiments, verify results and iterate.
Economics: what it saves and how it charges
UnverifiedSells environments/evaluations to labs (inferred); no pricing published.
Distribution: how it reaches customers
Direct outreach via Get in touch.
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.