About us
AImonitoring is an enterprise observability platform for teams operating web applications, APIs, background jobs, services, and AI agents in production. It brings uptime monitoring, synthetic checks, OTLP telemetry, traces, metrics, logs, SLOs, incident routing, service dependencies, status pages, RBAC, audit logs, and AI-agent monitoring into one control plane.
Traditional uptime tools stop at availability. Enterprise operations need a deeper answer: which service is affected, which team owns it, what dependencies may be impacted, whether the SLO is burning, who changed routing, whether alerts were suppressed by maintenance, and what follow-up work came out of the review. AImonitoring is built around that complete operational loop, including AI-native checks for agents that may respond successfully while producing poor answers or unexpected cost.
Monitoring, telemetry, SLOs, service ownership, incidents, and reviews should share the same operational context.
Enterprise monitoring needs RBAC, audit logs, routing controls, maintenance windows, and ownership records.
AI systems can be online and still wrong. Agent monitoring needs quality, latency, cost, and tool-step visibility.