# Deeptrace: AI agents for on-call

Canonical: https://thelazyweb.com/companies/deeptrace/
Breadcrumb: [Home](https://thelazyweb.com/) / [Companies](https://thelazyweb.com/companies/) / [Deeptrace: AI agents for on-call](https://thelazyweb.com/companies/deeptrace/)
Author: Ali Abouelatta (https://thelazyweb.com/authors/ali-abouelatta/)
Published: 2026-09-19
Updated: 2026-09-19
Research type: Company profile
Method: Company and accelerator sources checked 2026-09-19. Product claims are attributed to their sources; this is research, not a hands-on product trial.

## What it does

Deeptrace is an AI SRE for production alerts. It reasons across logs, traces, metrics and code, posts evidence-backed root-cause analysis, answers follow-up questions in Slack or a web app, and can open pull requests, update runbooks or create Linear tickets. The [YC profile](https://www.ycombinator.com/companies/deeptrace) describes end-to-end alert investigation; the [current homepage](https://deeptrace.com/) shows the alert-to-resolution workflow and 20+ integrations.

The fit is a growing engineering team with alert fatigue, distributed systems and too much context switching during on-call. Deeptrace is not only an observability dashboard. It is useful if it can assemble enough context to let an engineer decide what to do without hiding uncertainty behind an automatic fix.

## Why I’d look closer

The product surface is concrete: alert prioritization, grouped incidents, root-cause context, evidence citations, Slack questions and generated pull requests. The homepage says average time to root cause is 2–3 minutes. A

[Deeptrace: AI agents for on-call](<https://www.thelazyweb.com/companies/deeptrace/>)

Source observed: 2026-09-20T02:21:49.391Z. Last checked: 2026-10-08T02:03:42.085+00:00.

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