RunLLM

RunLLM is an AI-powered incident investigation platform that connects directly to your observability stack, codebase, and internal documentation to accelerate root cause analysis. Its primary purpose is to automatically investigate production alerts, correlate signals across systems, and surface likely causes and remediation paths in minutes instead of hours. By acting as an intelligent assistant on top of existing monitoring and logging tools, RunLLM helps teams move from noisy alerts to actionable insights with minimal manual digging.

The platform integrates with common observability tools (such as logging, metrics, and tracing systems), CI/CD pipelines, and source control to build a unified view of an incident. When an alert fires, RunLLM automatically gathers relevant logs, traces, recent deployments, configuration changes, and related documentation, then uses large language models to analyze patterns and propose the probable root cause. It can summarize complex incident context, highlight anomalous components or services, and point to specific code changes or failing dependencies. RunLLM also supports conversational investigation, allowing engineers to ask natural language questions about the incident and receive context-aware answers grounded in their own data.