What it sells
The LLM Eval and Observability Platform for AI Quality
Business model breakdown
Buyer: who owns the budget?
UnverifiedHead of AI/ML engineering or platform; enterprise AI governance leads.
Trigger: what makes them buy now?
Agent failures that go unreported in production; each team building its own eval stack across multiple AI initiatives.
Workflow: what inputs become what output?
Run evals in dev and CI/CD, trace and monitor production LLM traffic, group failures into issues with alerts, annotate outputs, and red-team apps.
Economics: what it saves and how it charges
SaaS tiers by seats/projects with trace-span metering ($1 per GB-month overage); open-source DeepEval/DeepTeam feeds paid platform; claims 30 minutes vs 4 weeks to catch an issue.
Distribution: how it reaches customers
Open-source frameworks, free tier self-serve signup, contact sales for enterprise.
Funding history and coverage
| Round date | Stage | Amount | Investors | Source |
|---|---|---|---|---|
| — | Y Combinator Winter 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.