An autonomous AI agent that manages your inference infrastructure — routing traffic, fixing failures, optimizing costs — 24/7, without human intervention.
AxiomOps sits inside your inference layer and handles everything that normally requires a human watching dashboards at 2am.
Most AIOps tools detect problems. AxiomOps resolves them. Each guardian is a specialized autonomous agent that watches a specific surface of your infrastructure and takes action without waiting for a human to acknowledge an alert.
Granular per-model, per-task, per-user cost attribution. Know exactly where every dollar goes — not just per-provider, but per-feature, per-team, per endpoint.
Detects unexpected spending spikes before they compound. If a single agent loop runs 10x over budget, AxiomOps catches it and gates it — then reports what happened.
Set monthly caps per provider or model. AxiomOps enforces them automatically — routing away from over-budget endpoints before you get a surprise bill at the end of the month.
Every morning at 8am, a summary lands in your inbox: total spend, what changed overnight, what the agent did, and what to watch today. You stay informed without opening a dashboard.
Autonomous agents need stronger governance than static software. AxiomOps treats every inference call as a first-class observable event — complete with reasoning trace, cost attribution, and outcome. This isn't logging. This is a full decision record.
AxiomOps is built for teams that run AI at scale and can't afford to watch it manually. Inference that manages itself. Failures that resolve themselves. Costs that optimize themselves.