What it sells
Understand why your AI agent breaks. Iterate fast to fix it.
Business model breakdown
Buyer: who owns the budget?
UnverifiedEngineering teams building AI agents (inferred).
Trigger: what makes them buy now?
Agents fail in unanticipated ways; need to catch failure modes at scale and debug runs.
Workflow: what inputs become what output?
Instrument agent, capture LLM and tool calls, costs and tokens in a trace view, Signals cluster failures, then debug and evaluate.
Economics: what it saves and how it charges
Open-source with hosted usage-based SaaS tiers (base fee plus per-GB data overage and Signals token costs).
Distribution: how it reaches customers
Self-serve signup, GitHub open source, docs and demo booking for enterprise.
Funding history and coverage
| Round date | Stage | Amount | Investors | Source |
|---|---|---|---|---|
| — | Y Combinator Summer 2024 | — | 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.