Rootly AI SRE analyzes your code changes, telemetry, and past incidents—to quickly identify the root cause and the fix—even if you don't know that code.
Understand the AI chain of thought so you see why a root cause is flagged and how it’s fixed—not just what it is.
Opt out anytime, bring your own AI API key, and know that PII is automatically scrubbed and never used for training.
Modern systems demand a new approach to reliability. Since 2021, we’ve built a category-defining on-call and incident-response platform trusted by teams at Replit, NVIDIA, LinkedIn, Figma, and hundreds more—and now AI is adding new complexity while opening the door to redefine reliability.
To stay ahead, we’re launching Rootly AI Labs: an open, collaborative incubator for fast experimentation in areas like cognitive fault prediction, autonomic infrastructure, and digital-twin simulations. We’ll share our work openly and welcome partners and fellows to help push the boundaries of AI-driven reliability together.
Partners
Rootly MCP Server
A Rootly MCP server for editors like Cursor, Windsurf, and Claude—resolve incidents in seconds, right from your IDE.
AI-powered Burnout Detection
Detect early signs of engineer burnout to enable proactive support in high-stakes environments.
Automated Retrospective Diagram Generation
Visual incident diagrams highlight affected components and failure points by analyzing your postmortems and codebase.
Benchmarking Magistral for SRE tasks.
Llama 4 underperforms:
A benchmark against coding-centric models.
Classifying Error Logs with AI:
Can DeepSeek R1 Outperform GPT-4o and Llama 3?
The Future of AI-Driven Reliability
Github, Y Combinator, a16z, Google Cloud, Anthropic, Postman, Sentry, & Browserbase
How AI is Fueling the Developer Renaissance
AWS, a16z, Hypermode, Dagger, Braintrust, Baseten, Arize AI, Greptile & AWS
Rootly MCP Server
A Rootly MCP server for editors like Cursor, Windsurf, and Claude—resolve incidents in seconds, right from your IDE.
AI-powered Burnout Detection
Detect early signs of engineer burnout to enable proactive support in high-stakes environments.
Automated Retrospective Diagram Generation
Visual incident diagrams highlight affected components and failure points by analyzing your postmortems and codebase.
Benchmarking Magistral for SRE tasks.
Llama 4 underperforms:
A benchmark against coding-centric models.
Classifying Error Logs with AI:
Can DeepSeek R1 Outperform GPT-4o and Llama 3?
The Future of AI-Driven Reliability
Github, Y Combinator, a16z, Google Cloud, Anthropic, Postman, Sentry, & Browserbase
How AI is Fueling the Developer Renaissance
AWS, a16z, Hypermode, Dagger, Braintrust, Baseten, Arize AI, Greptile & AWS
Get a 1:1 demo with one of our technical staff or start your free 14-day trial.