What it sells
Production Monitoring for AI agents
Business model breakdown
Buyer: who owns the budget?
UnverifiedEngineering lead or head of AI at companies shipping production agents.
Trigger: what makes them buy now?
Agents fail silently (wrong answers, forgotten context, wrong tool) while returning success, so error monitoring misses it and users churn.
Workflow: what inputs become what output?
Instrument the production agent so each run becomes a trace; Lemma audits traces against the agent instructions, groups recurring failures into issues, alerts in Slack, hands context to a coding agent via MCP, then creates an online eval to catch regressions after the fix.
Distribution: how it reaches customers
Demo-led (Book a demo via cal.com) plus developer docs, SDK integrations (OpenAI Agents, Vercel AI SDK, LangGraph, Mastra) and a platform login.
Funding history and coverage
| Round date | Stage | Amount | Investors | Source |
|---|---|---|---|---|
| — | Y Combinator Fall 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.