Runllm

RunLLM is the AI SRE that accelerates incident response. Built on over a decade of UC Berkeley research, RunLLM runs rapid, evidence-backed investigations that identify likely causes and remediation steps in minutes. Delivered directly in Slack and the tools engineers already use, RunLLM cuts through alert noise, improves MTTR, and continuously updates runbooks so teams prevent repeat incidents. Trusted in production, RunLLM helps engineering organizations reduce downtime, protect their teams from burnout, and build more resilient systems. RunLLM ingests MELT data (metrics, events, logs, traces) alongside code changes, tickets, and documentation from your systems. It runs rapid investigations that surface likely causes and best next steps — backed by evidence, transparent reasoning traces, and the ability to drill down or interrogate results in real-time. Your team verifies, refines, and acts with confidence — dramatically cutting investigation time and building resilience. Best of all, it works across the surface areas you already use including Slack, Datadog, Grafana, and more. RunLLM can also extend reliability to your customers with our AI Support Engineer. Incidents don’t just disrupt systems — they reach your users. RunLLM's AI Support Engineer resolves complex technical issues for teams and customers, keeping incident resolution and customer communication in sync.