Sazabi launches version 1.0 of AI-powered software monitoring platform

Sazabi: Sazabi is an AI-native observability platform designed for fast-moving engineering teams that ship software with AI assistance. It analyzes logs to detect anomalies, deploys cloud agents for investigation, and delivers actionable alerts without traditional monitors or noise. The company, a Y Combinator participant, launched version 1.0 today, adding live dashboards, log search, and self-serve access to make the platform broadly available. Shay Callaway: Sherwood (Shay) Callaway is the founder of Sazabi and a two-time Y Combinator founder with prior experience building infra and observability teams at Brex. He has spent the past year developing Sazabi as a safety harness for AI-era software development, where agents handle code changes and deployments at high velocity. Callaway announced the version 1.0 launch, positioning the tool to surface real issues before users notice them. Development Practices: Engineering teams increasingly rely on AI agents for merging PRs and frequent deployments, creating demand for automated anomaly detection and investigation. Observability Evolution: Traditional monitoring tools struggle to keep pace with AI-driven software systems that change continuously and behave probabilistically.