causely

First-line incident triage you can trust: ranked root-cause hypotheses where every claim cites a real evidence handle — and the agent abstains rather than guess.

Provides telemetry tools for retrieving recent logs and system metrics to support root-cause analysis of infrastructure incidents. Enables autonomous incident triage with grounded verification and human-in-the-loop remediation.

Enables coding agents to diagnose production incidents by traversing a FalkorDB graph of services, deploys, feature flags, owners and past incidents to find the true root cause rather than the alerting service. It also lets agents act on that reasoning — rolling back, restarting or flipping flags with dry-run-first safety — then verify recovery, notify owners, and store the incident and its fix as memory for faster future resolution.

Enables diagnosing long AI-agent traces by identifying the most likely root-cause steps, so users can quickly find where an agent run went wrong.