# Relvy AI: debugging notebooks for incident response

Canonical: https://thelazyweb.com/companies/relvy-ai/
Breadcrumb: [Home](https://thelazyweb.com/) / [Companies](https://thelazyweb.com/companies/) / [Relvy AI: debugging notebooks for incident response](https://thelazyweb.com/companies/relvy-ai/)
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.

Relvy AI is building an incident-response layer for software teams that are tired of turning alert noise into an on-call archaeology project. Its product is an AI debugging notebook that connects to observability data, investigates an issue and leaves a root-cause trail engineers can correct.

## What it does

The [YC profile](https://www.ycombinator.com/companies/relvy-ai) says Relvy finds the root cause in more than 70% of alerts automatically, while letting engineers guide or correct the investigation when it misses. The [YC launch](https://www.ycombinator.com/launches/MGE-relvy-ai-that-discovers-and-debugs-production-issues) describes a setup where teams connect observability tools, provide log queries, and let Relvy monitor and debug continuously. It can also investigate alerts already arriving in an on-call Slack channel and identify responsible code changes from recent commits.

The buyer is a software team with enough services, alerts and deploys that engineers spend time deciding which signal

[Relvy AI: debugging notebooks for incident response](<https://www.thelazyweb.com/companies/relvy-ai/>)

Source observed: 2026-09-20T02:21:24.943Z. Last checked: 2026-10-08T02:08:50.287+00:00.

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