Sazabi Secures $8 Million to Automate Software Observability

The company aims to solve the growing friction between rapid software deployment and legacy monitoring tools. Founder Sherwood Callaway argues that while AI has transformed how code is written, the operational side—debugging and incident response—remains stuck in a pre-AI era. Sazabi bypasses complex telemetry stacks by using AI agents to analyze logs, infrastructure, and codebases, proactively resolving issues without manual intervention.

At the core of the platform is a logs-first architecture that treats raw log data as the single source of truth, eliminating the need for fragmented metrics and traces. This approach has already gained traction: during a closed alpha, the startup onboarded 50 teams, detected 2,000 production issues, and automatically generated 200 pull requests. Early adopters, including legal software provider Sandstone, credit the platform with catching errors before they reach end users. The new capital will be used to scale the engineering team and deepen integrations across cloud platforms as the firm looks to redefine reliability for probabilistic, AI-driven software environments.