IncidentIQ

IncidentIQ is an AI-native incident reasoning platform that helps engineers investigate production incidents using persistent operational memory and long-context reasoning.

Instead of manually piecing together logs, deploys, alerts, metrics, and runbooks across fragmented tools, engineers can upload or connect operational context, select a flagged incident, and ask questions like:

“Why did latency spike at 2:17 PM?”

IncidentIQ reconstructs the incident timeline, identifies causal chains between services, explains the root cause, surfaces supporting evidence, estimates blast radius, and recommends mitigations.

What makes IncidentIQ different is persistent operational memory powered by HydraDB. The system stores uploaded telemetry, investigation history, root-cause analyses, mitigations, and follow-up conversations so engineers can resume investigations and continue reasoning across the lifecycle of an incident instead of treating every interaction as a new prompt.

Using long-context models through Pipeshift, IncidentIQ transforms incident response from isolated log search into continuous operational reasoning.The full platform is deployed on Render for scalable real-time investigation workflow