The AI SRE that Accelerates Incident Resolution

Build resilience with rapid investigations, evidence-backed root cause analysis, and continuous runbook improvement.

Built for Trust. Trusted in Production.

The Dark Side of Incident Response

Expensive Downtime

Outages can cost enterprises up to $1M per hour.

Missed Causes

Root causes hide across fragmented tools and silos.

Alert Overload

Engineers drown in noisy alerts and dashboards.

Team Burnout

On-call engineers get stuck in repetitive fire drills.

The RunLLM AI SRE Solution

More Needle. Less Haystack.

Correlates Multiple
Data Sources

Combines metrics, logs, traces, and deployment events for complete incident context continuously and on-demand.

Builds Incident Timelines

Shows how incidents unfold step by step to reveal exactly why failures happened for faster RCA.

Ranks Likely Causes

Orders potential root causes by confidence and evidence strength in minutes instead of hours.

Learns from Feedback

Improves accuracy based on your corrections and builds knowledge to prevent repeat failures.

Why RunLLM

1/4

Complete Transparency

See exactly how every conclusion was reached with full reasoning traces and links to source data.

2/4

Works Where You Do

Investigate directly in Slack using data from your existing tools like Datadog, Grafana, and PagerDuty.

3/4

Investigates Your Way

Get the level of detail you want, ask follow-ups, and drill deeper until you have confidence in the analysis.

4/4

Learns from Experience

Feedback immediately improves future investigations and builds shareable knowledge for your entire team.

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 real-world technical support challenges.

About RunLLM

Extend Reliability to Your Customers with the RunLLM AI Support Engineer

Incidents don’t just disrupt systems — they reach your users. The RunLLM AI Support Engineer resolves complex issues for teams and customers, keeping incident resolution and customer communication in sync.

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Uses All Your Data

Combines search, custom knowledge graphs, and fine-tuned LLMs to deliver expert answers you can trust across teams and in front of customers.

Plans and Executes

Uses an agentic planner to break down complex requests, select tools via MCP, and adapt step by step until it delivers a reliable solution.

Configure to Your Needs

Tailors agents for tone, behavior, and output, from validated step-by-step code guidance to broader business-level responses.

Works Where You Do

Connects to data sources including ticketing, wikis, code, chat, monitoring, and docs. Deploys wherever teams and users need expert answers on demand.