In most cloud operations, the alert fires and someone wakes up. Engineers dig through logs and dashboards by hand while the outage runs and customers notice. Self-Healing Ops puts an AI agent on call around the clock to resolve routine incidents within limits you set.
Routine incidents still depend on someone being paged, logging in and working out what broke.
Every minute spent on diagnosis is a minute of degraded service for customers.
Fixes applied under pressure at 3 a.m. are hard to explain the next morning.
Self-Healing Ops is an AI agent that detects, diagnoses and fixes cloud issues, then proves the fix worked. It acts only within the limits you approve.
The agent picks up the alert the moment it fires.
It reads the logs, the telemetry and the latest release to work out what broke.
It chooses from the actions you've approved and applies the right one.
It confirms the service has recovered, and hands the incident to a person if the fix doesn't hold.
Every accelerator on this page started as a problem we needed to solve. If you’re facing a similar one, we’ll show you the working version and help you judge whether it fits.
A live 30-minute walkthrough of any accelerator on synthetic data, with the engineers who built it.
A working session to match your use case to what the lab has proven, and to be clear about what it hasn’t.
A time-boxed pilot in your environment, with the evidence trail your risk team will ask for.
