About Sazabi
Sazabi is an AI-native observability platform for fast-moving engineering teams. It uses autonomous agents to detect, investigate, and help resolve production issues, with alerts, plain-language debugging, and hand-offs to coding agents. It is aimed at startups and engineering teams that ship quickly and do not want to maintain heavy instrumentation.
What is Sazabi?
What is Sazabi?
Sazabi is an observability platform built around AI agents rather than dashboards. The company describes its approach as treating logs as the single source of truth, with AI reconstructing the views an engineer needs instead of requiring teams to set up complex instrumentation up front.
The product has three main surfaces. Autonomous Alerts send notifications only when something matters, with a summary of impact, likely root cause, and a recommended action. Conversational Debugging lets engineers ask questions about their application in plain language instead of digging through telemetry. Coding agent integrations connect Sazabi with tools such as Claude Code, Codex, and Cursor, so an engineer can ask Sazabi to hand a fix off to a coding agent that opens a pull request.
According to the company's funding announcement, Sazabi onboarded 50 teams in two weeks during its closed alpha, ran 8,000 background investigations, detected 2,000 issues, and opened 200 pull requests.
Sazabi is part of Y Combinator's Spring 2026 batch and is based in San Francisco. It was founded in 2025 by Sherwood Callaway, a second-time YC founder who previously built infrastructure and observability systems at Brex and Crunchbase. In June 2026 it announced an $8 million seed round.
Pros
- Agent-driven investigations reduce time spent manually searching logs and traces
- Plain-language chat interface for asking questions about production behavior
- Integrates with major coding agents such as Claude Code, Codex, and Cursor to turn findings into pull requests
- Alerts include impact, root cause, and recommended action rather than raw signals
Cons
- Early-stage product; the company was onboarding customers through a demo-led process at the time of its seed announcement
- Public pricing is not listed on the website
- Teams with mature observability stacks may need to evaluate how it fits alongside existing tools
How to Use Sazabi
- 1Book a demo
Request access through the Sazabi website to get onboarded to the platform.
- 2Connect your logs
Send application logs to Sazabi, which treats logs as the primary source of truth for analysis.
- 3Review autonomous alerts
Receive alerts that summarize impact, likely root cause, and a recommended action when an issue matters.
- 4Investigate and fix
Ask questions in plain language, then hand fixes to a connected coding agent such as Cursor or Claude Code.