
Sentinel provides an AI on-call engineer solution that automates root cause analysis and incident investigation, reducing MTTR and improving engineering productivity. The platform leverages fine-tuned machine learning models and knowledge of a company's systems to investigate production incidents, identify root causes, and propose fixes. Sentinel reduces alert fatigue and downtime by autonomously managing alerts and providing clear incident insights. Key features include continuous monitoring, parallel hypothesis generation, AI-driven investigation, automated root cause analysis, and post-mortem report generation with remediation suggestions. It integrates with existing telemetry stacks with read-only access, and users control data exposure.

Sentinel provides an AI on-call engineer solution that automates root cause analysis and incident investigation, reducing MTTR and improving engineering productivity. The platform leverages fine-tuned machine learning models and knowledge of a company's systems to investigate production incidents, identify root causes, and propose fixes. Sentinel reduces alert fatigue and downtime by autonomously managing alerts and providing clear incident insights. Key features include continuous monitoring, parallel hypothesis generation, AI-driven investigation, automated root cause analysis, and post-mortem report generation with remediation suggestions. It integrates with existing telemetry stacks with read-only access, and users control data exposure.