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Sazabi announced an $8M seed round from YC with additional angel investors from…

Brief

Sazabi, founded by Sherwood (@shcallaway), raised an $8M seed from YC plus angels from OpenAI and GitHub (announced 2026-06-25) for a next-gen observability product. The platform promises natural-language fault queries, root-cause analysis from raw logs, and automated code-and-deploy fixes, pitching itself as a self-healing alternative to manual SRE workflows.

Why it matters

Sazabi announced an $8M seed round from YC with additional angel investors from OpenAI and GitHub, highlighted in posts on 2026-06-25 by Sherwood (@shcallaway) and amplified by @DataChaz.

Key details

  • Sazabi bills itself as a self-healing observability platform that lets engineers ask “what broke” in plain English, pinpoints root cause using only raw logs, then automatically codes and ships the exact patch to production—positioned to eliminate manual debugging and 3 AM PagerDuty wake-ups.
Source evidence

Act ONE was AI writing the code.

Act TWO is AI spotting crashes and pushing its own patches to production.

🚨 Enter @Sazabi.

They just locked in an $8M seed from YC, plus angels out of OpenAI and GitHub.

Their goal is to wipe out the cluttered, chaotic dashboard, and after watching the demo, I think they’ll actually do it.

It’s a powerhouse infrastructure tool that heals your stack:

→ you ask what broke in plain English
→ it pinpoints the root cause using only your raw logs
→ it codes and ships the exact solution

Looks like the days of manual debugging and 3 AM PagerDuty wake-ups are officially over.

Congrats to @shcallaway and his team 👏👏👏

Sherwood (@shcallaway)

We raised $8m to build self-healing software.

In 2026, software moves fast.

But monitoring and observability are still manual and slow.

@sazabi is a next-generation observability platform for fast-moving engineering teams.

Not another AI SRE.

Not another LLM observability tool.

A new, general solution to observability that works for any workload (including agents) and leverages AI for maximum speed and automation.

Time to suit up.

Video

— https://nitter.net/shcallaway/status/2070151536257503519#m