Sazabi is an AI-native observability platform for fast-moving engineering teams, positioned as a next-generation alternative to legacy platforms like Datadog. It offers a chat-based interface, agent-driven instrumentation requiring no code changes, autonomous alerts, CLI access, and Slack integration. Its AI agents memorize codebases and architectures, analyze logs to detect anomalies, and can automatically generate pull requests for fixes.
Sazabi
ActiveThe AI-native observability platform for fast-moving engineering…
Total raised
$500K
1 round
Stage
Seed
Jan 2026
Team
1-10
since 2026
Pricing
—
Founded
2026
San Francisco, United States
Agent-ready
—
AI-native observability platform for engineering teams
Chat-based interface for querying telemetry
Agent-driven instrumentation requiring no code changes
Autonomous alerting on detected issues
Anomaly detection through log analysis
Automatic pull request generation for fixes
Agents that memorize codebases and architectures
CLI access for engineering workflows
12/100
Early
MCP server
Public API
Webhooks
OAuth 2.0
SDKs
No public agent surfaces detected yet.
Jan 2026 Seed $500K ● Y Combinator
Capital network
$500K raised ·1 backer·10 network links
- Backers1
- Shared portfoliocompanies these backers also fund
- Extended networkfunds that co-invest alongside them
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- How is Sazabi different from Datadog?
- Sazabi is positioned as an AI-native, next-generation alternative offering agent-driven instrumentation, a chat interface, autonomous alerts, and automatic fix PRs.
- Does it require code changes to instrument?
- No. Its agent-driven instrumentation is designed to work without code changes.
- Can it fix issues automatically?
- Its AI agents can detect anomalies and automatically generate pull requests for fixes, which engineers then review.
- How do I interact with it?
- It offers a chat-based interface, CLI access, and Slack integration for alerts and collaboration.
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