Building the future of reliability and operational excellence

The Rootly AI Labs is a fellow-led community designed to redefine reliability engineering. We develop innovative prototypes, create open-source tools, and produce research that’s shared to advance operational excellence standards.

Some of our projects:

• On-call Burnout Detector: Detecting burnout risk in incident responder teams, using incident and on-call data, GitHub activity, and Slack communication patterns.
• Rootly MCP server: Bring incident response into your coding assistant with the Rootly MCP server.
• SRE-skills-bench: A benchmark suite for testing how well LLMs perform on SRE tasks. Think SWE-bench, but for reliability engineers.
• Screen Sherpa: Prototype of an over-the-shoulder SRE AI assistant, this prototype is helping engineers make sense of the graph they are watching.

Our fellows

• Sahil Kumar - Ex-Twilio Director of AI
• Casey Brown – Head of Infrastructure Engineering at Weights and Biases
• Laurence Liang - McGill Engineering
• Allan Parsons – Sr Staff Engineer at Venmo
• Kishan Rao - Engineering Manager at Okta
• Sylvain Kalache - Head of the Rootly AI Labs

About the AI Labs

The Rootly AI Labs is a fellow-led community designed to redefine reliability engineering. We develop innovative prototypes, create open-source tools, and produce research that's shared to advance the standards of operational excellence.

About Rootly

AI-native on-call and incident response. Modern Slack and MS Teams native incident management—from your first alert to retrospective. Trusted by 100s of leading companies including NVIDIA, Squarespace, Canva, Grammarly, Elastic, Tripadvisor, and Figma.