What Sazabi does
Sazabi is an AI-native observability platform for engineering teams. It uses AI to automate incident detection, debugging, and root-cause analysis, surfacing actionable alerts without extensive manual setup and reducing the alert fatigue common in traditional monitoring tools.
Key capabilities
- Automatic alerts with root-cause analysis, designed to work with minimal configuration
- Conversational debugging, letting engineers query their applications in natural language instead of digging through telemetry
- On-demand visualizations, code snippets, and analysis
- Pinpointing the specific files and lines of code tied to an issue
- Tight integration with coding agents such as Claude Code, Cursor, and Codex to help apply fixes
- Learning from past incidents to improve future detection
Who it's for
Sazabi is aimed at fast-moving engineering teams that want to cut mean-time-to-resolution and reduce the operational overhead of running production software. By embedding AI analysis into the developer workflow, it shortens the path from detecting a problem to shipping a fix.