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Incident Management Software That Investigates
Coordinate incidents. Investigate automatically. Resolve faster.
Incident management software helps you organize the chaos—declare incidents, assign roles, track timelines, send updates. That’s useful but won’t help you resolve the issue.
When an incident is declared, RunLLM :
Correlates evidence across your telemetry, deploys, tickets and code.
Delivers root cause analysis while your team coordinates the response.
Stop managing incidents blind. RunLLM gets you to root cause while you coordinate.
Trusted by:
The Incident Management Gap
Incident management tools have coordination covered—declaring incidents, assigning roles, spinning up channels, tracking timelines.
But coordination doesn’t solve incidents. Investigation does.
Your team still has to manually search logs, check dashboards, review deployments, and piece together what changed. That takes time, while customers are affected and engineers are stressed.
AI That Investigates
Incident Declaration
Declare incidents from Slack with consistent severity levels, roles, and communication channels. RunLLM integrates with your existing workflow.
Automatic Investigation
The moment an incident is declared, RunLLM starts investigating. It pulls data from your observability stack, checks recent changes, and correlates signals across your system.
Evidence-Backed Root Cause
Within minutes, get ranked hypotheses with confidence scores. See the specific log lines, metric anomalies, and deployment changes that support each conclusion.
Recommended Next Steps
Actionable remediation steps based on what RunLLM finds. Rollback suggestions, scaling operations, configuration changes - with context and safety boundaries.
Automatic Documentation
Incident timelines, investigation findings, and root cause analysis are captured automatically. Postmortems start with the facts already documented.
Transform Your Incident Management
Built for Modern SRE Teams
Slack-Native
Incidents are managed where your team already works. No context switching to separate dashboards during high-pressure situations.
Live in Days
Connect your observability stack and start investigating immediately. No lengthy configuration or professional services required.
Integrates with Your Stack
Works alongside your existing incident management tools. RunLLM adds the investigation layer you’re missing.
Transparent Analysis
Every hypothesis includes supporting evidence. Your team verifies findings and maintains control throughout the incident.
RunLLM connects to your Incident Management ecosystem
Monitoring:
Logging:
Incident Management:
Ticketing:
Communication:
Common Questions
What You Might Be Wondering
Does RunLLM replace our incident management tool?
No. RunLLM adds automatic investigation to your existing workflow. If you use incident.io, PagerDuty, or Opsgenie for coordination and on-call, RunLLM provides the investigation layer that helps you understand what’s wrong
How fast does investigation happen?
RunLLM begins investigating immediately when an alert fires or incident is declared. Initial hypotheses are typically available within minutes.
What if we don’t have runbooks documented?
RunLLM investigates autonomously based on your system data - it doesn’t require pre-documented runbooks. It learns from your environment and builds knowledge over time
Powered by UC Berkeley Research
RunLLM was founded by PhDs and Professors from UC Berkeley’s world-renowned Computer Science Department and its AI and LLM research center, RISELab.
With deep expertise in AI, LLMs, data systems, and scalable infrastructure our team applies cutting-edge research to solve the hardest real-world technical challenges.
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Ready for Incident Management That Investigates?
Stop managing incidents and start resolving them.