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Sherwood (@shcallaway) says his team raised $8M to build self-healing software…

2026-06-25 · 17:25 UTC ·@ginacostag_ ·0 min read

Brief

Sherwood announced that after raising $8M they built Sazabi, a 2026-era observability platform that uses AI to automate monitoring and enable self-healing. The post emphasizes Sazabi works across any workload (including agents), is not framed as an “AI SRE” or LLM-only tool, and is shown catching a production issue early to speed incident resolution.

Why it matters

Sherwood (@shcallaway) says his team raised $8M to build self-healing software and launched Sazabi in 2026 as a next-generation observability platform.

Key details

  • Sazabi claims to work for any workload (including agents), leverages AI for speed and automation, and positions itself as neither an “AI SRE” nor an LLM-only observability tool—demonstrated by catching an issue early in production in the shared video.
Source evidence

production after Sazabi catches the issue early:

Video

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