New Feature: Log & Telemetry Analysis!
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.
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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, events, logs, and telemetry for complete incident context continuously and on-demand.
Builds Incident Timelines
Shows how incidents unfold step-by-step for faster RCA, revealing exactly why failures happened.
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
Complete Transparency
See exactly how every conclusion was reached with full reasoning traces and links to source data.
Works Where You Do
Investigate directly in Slack with real-time data from existing tools like Datadog, Grafana, and PagerDuty.
Investigates Your Way
Get the level of detail you want, ask follow-ups, and drill deeper until you have confidence in the analysis.
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 the hardest real-world technical challenges.
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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.
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 where teams and users need expert answers on demand.
Agents Built for Your Hardest Technical Problems
Custom Data Pipelines
Precisely ingests and annotates your docs, tickets, and code to ensure relevant context for every answer.
Fine-Tuned Models
Trains a dedicated language model tailored to your product's terminology, functionality, and edge cases.
Multi-LLM Agents
Orchestrates multiple LLMs per query, applying rigorous validation to deliver consistently accurate answers.
Read the Latest
From thought leadership to product guides, we have resources for you.
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