Relvy AI (YC F24

About Relvy AI (YC F24

Relvy automates the debugging of production issues for software engineering teams by continuously monitoring logs and metrics to identify actionable problems. By leveraging AI to analyze data and suggest root causes, Relvy reduces incident response time by over 15 times, allowing engineers to focus on innovation rather than troubleshooting.

```xml <problem> Software engineering teams spend significant time manually troubleshooting production issues, including debugging code, researching prior incidents, and collaborating with colleagues. This manual effort diverts engineers from innovation and increases operational costs. Traditional monitoring systems often require manual configuration and maintenance of alerts, generating noise and delaying issue detection. </problem> <solution> Relvy provides an AI-powered agent that automates the debugging of production issues by continuously monitoring logs and metrics to identify actionable problems. The agent analyzes data, including logs, metrics, documentation, and recent code changes, to suggest root causes. By automating the troubleshooting process, Relvy reduces incident response time, allowing engineers to focus on innovation and drive operational efficiencies. The platform eliminates the need for manual configuration and maintenance of alerts, reducing noise and improving issue detection. </solution> <features> - Continuous monitoring of logs and metrics to detect actionable issues automatically. - AI-powered root cause analysis using logs, metrics, documentation, and recent code changes. - Automated querying and analysis of data sources to identify responsible code changes. - Reduction in incident response time by over 15 times. - Elimination of manual alert configuration and maintenance. </features> <target_audience> Relvy is designed for software engineering teams and operations teams looking to automate troubleshooting, reduce incident response time, and improve operational efficiency. </target_audience> ```

What does Relvy AI (YC F24 do?

Relvy automates the debugging of production issues for software engineering teams by continuously monitoring logs and metrics to identify actionable problems. By leveraging AI to analyze data and suggest root causes, Relvy reduces incident response time by over 15 times, allowing engineers to focus on innovation rather than troubleshooting.

Where is Relvy AI (YC F24 located?

Relvy AI (YC F24 is based in Mountain View, United States.

When was Relvy AI (YC F24 founded?

Relvy AI (YC F24 was founded in 2024.

How much funding has Relvy AI (YC F24 raised?

Relvy AI (YC F24 has raised 500000.

Who founded Relvy AI (YC F24?

Relvy AI (YC F24 was founded by Simranjit Singh.

  • Simranjit Singh - Co-founder
Location
Mountain View, United States
Founded
2024
Funding
500000
Employees
6 employees
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Relvy AI (YC F24

Score: 100/100
AI-Generated Company Overview (experimental) – could contain errors

Executive Summary

Relvy automates the debugging of production issues for software engineering teams by continuously monitoring logs and metrics to identify actionable problems. By leveraging AI to analyze data and suggest root causes, Relvy reduces incident response time by over 15 times, allowing engineers to focus on innovation rather than troubleshooting.

relvy.ai300+
cb
Crunchbase
Founded 2024 – Mountain View, United States

Funding

$

Estimated Funding

$500K+

Team (5+)

Simranjit Singh

Co-founder

Company Description

Problem

Software engineering teams spend significant time manually troubleshooting production issues, including debugging code, researching prior incidents, and collaborating with colleagues. This manual effort diverts engineers from innovation and increases operational costs. Traditional monitoring systems often require manual configuration and maintenance of alerts, generating noise and delaying issue detection.

Solution

Relvy provides an AI-powered agent that automates the debugging of production issues by continuously monitoring logs and metrics to identify actionable problems. The agent analyzes data, including logs, metrics, documentation, and recent code changes, to suggest root causes. By automating the troubleshooting process, Relvy reduces incident response time, allowing engineers to focus on innovation and drive operational efficiencies. The platform eliminates the need for manual configuration and maintenance of alerts, reducing noise and improving issue detection.

Features

Continuous monitoring of logs and metrics to detect actionable issues automatically.

AI-powered root cause analysis using logs, metrics, documentation, and recent code changes.

Automated querying and analysis of data sources to identify responsible code changes.

Reduction in incident response time by over 15 times.

Elimination of manual alert configuration and maintenance.

Target Audience

Relvy is designed for software engineering teams and operations teams looking to automate troubleshooting, reduce incident response time, and improve operational efficiency.