Get ahead of incidents.

It takes the whole shift. On alerts, it closes the noise and detects the real issues, with the root cause posted in the alert's thread. On incidents, it works toward a scoped fix, or hands over to the on-call with the evidence attached. On deployments, it watches every release for days and flags a drift before any monitor fires.

Only when it needs you: when human judgment is required, when customers are affected, or when the fix is outside what you allowed it to do. The page arrives with the investigation, the evidence, what it ruled out and the recommended action.

No. It takes the first response and the legwork of every alert, so your engineers only step in for the decisions that need them. Your team keeps ownership of production and sets the limits ewake works within.

It shows its work. Every conclusion arrives with a confidence score, the evidence behind it, and what it ruled out along the way. Your engineers can challenge it in the thread and get the reasoning back. This is identical in every deployment.

It acts inside limits you set. You decide what it can do on its own, what needs an approving human, and what it should only ever suggest. Write access is off until you turn it on, per service.

Never. Your telemetry, your code, and your incidents are never used to train or fine-tune any model, in any hosting option, at any tier. There is no exception and no opt-out to manage.

Your existing stack. Observability (Datadog, Grafana, Prometheus and others), alerting (PagerDuty, OpsGenie), code (GitHub, GitLab), tickets (Jira, Linear), and chat (Slack). No new tooling, no custom instrumentation, no code changes. The integration list is the same whichever way you deploy.

On SaaS, minutes. Connect your tools, pick your Slack channel, and ewake starts analysing. BYOC and self-hosted add one infrastructure step, which we run with your platform team. After that first step, day-to-day operation is identical across all three.