What it sells
Open source self-improving layer for AI agents
Business model breakdown
Buyer: who owns the budget?
UnverifiedEngineering leads or founders at teams shipping LLM agents; signup is self-serve CLI/cloud, so individual engineers can start it.
Trigger: what makes them buy now?
Agents pass tests but fail in production (wrong answers that look like successful runs, tool loops wasting tokens, regressions after prompt or model changes).
Workflow: what inputs become what output?
Trace production model and tool calls; LLM-judge detectors flag bad runs; judge outputs cluster into signals; a background coding agent investigates traces and GitHub code in a sandbox and recommends fixes; apply with your coding agent and verify with offline evals.
Economics: what it saves and how it charges
Open-source core (Apache 2.0) with paid cloud: usage-based on events/month, chat runs, RCA runs, with overage charges; enterprise license for ee directories.
Distribution: how it reaches customers
Self-serve: npm CLI install, free cloud plan with no credit card, GitHub open source (796 stars), Discord community; Contact Sales for Enterprise.
Funding history and coverage
| Round date | Stage | Amount | Investors | Source |
|---|---|---|---|---|
| — | Y Combinator Summer 2025 | — | 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.