What it sells
Open-source monitoring for machine learning models
Business model breakdown
Buyer: who owns the budget?
UnverifiedML/AI platform lead or head of AI product, hypothesized.
Trigger: what makes them buy now?
AI failures such as hallucinations, PII leaks, jailbreaks, data drift and regressions after prompt or model updates.
Workflow: what inputs become what output?
Generate synthetic test cases, run automated evals (built-in and LLM-as-judge metrics), manage test suites, compare reports, then monitor production continuously; Python library scales to a self-hosted platform.
Economics: what it saves and how it charges
UnverifiedOpen-source Apache 2.0 library drives adoption; revenue from a hosted/managed platform and enterprise (not priced on the pages read).
Distribution: how it reaches customers
Open source via GitHub, docs, free courses, community and content marketing; Contact us for the platform.
Funding history and coverage
| Round date | Stage | Amount | Investors | Source |
|---|---|---|---|---|
| — | Y Combinator Summer 2021 | — | 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.