RunLLM

Founded by Vikram Sreekanti

Investigates incidents autonomously, so your team ships features instead of chasing alerts.

Cost

Demo

Rating

★ People love it

Time to value

Quick Setup (< 1 hour)

You can use RunLLM to automatically detect and investigate production incidents before they impact customers. It builds context graphs of your infrastructure, creates custom anomaly detection models for each data stream, and investigates issues without requiring pre-written runbooks. The AI agent evaluates multiple hypotheses simultaneously and delivers root cause analyses in minutes, even for completely novel incidents your team has never seen before.

What RunLLM does

Build context graphs of observability data and codebaseCreate anomaly detection models for each data streamMonitor production systems for unusual behavior patternsGenerate hypotheses about potential incident causesInvestigate incidents across multiple data sourcesDeliver detailed root cause analysis reportsLearn from investigation outcomes to improve accuracyAlert teams before customers notice problemsDetects issues before alert thresholds fireInvestigates incidents without requiring runbooksBuilds context graphs of entire infrastructure stackCreates custom anomaly detection models per data streamEvaluates multiple hypotheses simultaneouslyDelivers root cause analyses in minutesLearns from every investigation to avoid repeat mistakesWorks on novel incidents with 70% accuracy