What it sells
Evaluates and fixes AI agents with AI agents.
Business model breakdown
Buyer: who owns the budget?
UnverifiedPlatform engineering / SRE / engineering leadership at enterprises building their own AI worker agents.
Trigger: what makes them buy now?
Ad hoc DIY agents cause governance gaps, spiraling AI costs, a quality ceiling and degrading reliability as AI code volume grows; on-call teams drowning in alert noise.
Workflow: what inputs become what output?
Alerts are deduplicated, grouped and triaged; agents correlate logs, traces, deploys and diffs into a root-cause report before anyone is paged (only P1s page a human); below P1 it opens a fix PR routed to the owning team; evaluator and healer agents review past sessions and propose updates to skills and memories, which engineers approve in git.
Economics: what it saves and how it charges
Enterprise platform; claims MTTR cut from 2 hours to 15 minutes (60-80% reduction); raised $7.9M seed.
Distribution: how it reaches customers
Demo-led enterprise sales (Book a demo), deployed in the customer's own cloud environment; docs and app login available.
Funding history and coverage
| Round date | Stage | Amount | Investors | Source |
|---|---|---|---|---|
| 2026-09-28 | — | $7.9M | — | news.google.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.