What it sells
The AIOps Agent for ML Teams
Business model breakdown
Buyer: who owns the budget?
UnverifiedHeads of ML infrastructure / platform or AI research leads.
Trigger: what makes them buy now?
Training jobs failing overnight (e.g. CUDA OOM at 3am), idle or stranded GPUs, and researchers spending time on cluster ops.
Workflow: what inputs become what output?
Agents diagnose failed training jobs, apply typed fixes and rerun from checkpoint, reclaim and pack idle GPUs, and keep nodes healthy; interacts in Slack via Chambie, with human approval when risk is high.
Economics: what it saves and how it charges
Plans tailored by fleet size and infrastructure; value is recovered GPU capacity and fewer failed runs.
Distribution: how it reaches customers
Founder-led sales ('Talk to the Founders', Get access).
Funding history and coverage
| Round date | Stage | Amount | Investors | Source |
|---|---|---|---|---|
| — | Y Combinator Winter 2026 | — | 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.