Relvy offers an AI-powered on‑call engineer that autonomously investigates production alerts by analyzing telemetry, logs, metrics, and code. It follows plain‑text runbooks, integrates with tools like PagerDuty, and produces auditable notebooks that document the root‑cause analysis, helping SRE and DevOps teams reduce mean time to resolution.
Funding
$500K raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Founders
Product
Problem
On-call teams spend significant time manually triaging alerts, digging through telemetry, logs, and code to identify root causes, which delays incident response and increases operational overhead.
Solution
Relvy provides an AI-powered on-call engineer that autonomously investigates alerts by analyzing production telemetry, code repositories, and infrastructure data. Users define plain‑text runbooks to guide the agent’s behavior, and the system generates detailed, auditable notebooks that document the investigation steps and findings. The platform integrates with existing tools such as PagerDuty, monitoring suites, version control systems, and custom APIs, allowing seamless incorporation into current incident workflows. By automating root‑cause analysis, Relvy reduces mean time to resolution and frees engineers to focus on remediation and prevention.
Target Audience
Relvy is aimed at site reliability engineering (SRE) teams, DevOps groups, and on‑call engineers who manage production incidents and seek to automate root‑cause analysis.
Features
- Autonomous alert investigation that parses logs, metrics, and code to pinpoint likely causes
- Generation of reproducible, auditable notebooks summarizing the analysis and evidence
- Plain‑text runbook support for customizable, domain‑specific investigation procedures
- Extensible connector framework to integrate with telemetry platforms, CI/CD systems, and internal APIs
- Native integration with PagerDuty and other on‑call management tools for automatic alert ingestion
- Open‑source quick‑start installation script for rapid deployment in existing environments