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D

Disto

distoai.com

Website unreachable since Oct 19, 2026

Disto provides an AI-powered on-call engineer that autonomously diagnoses and resolves production incidents. The platform processes logs, metrics, and traces concurrently, tests multiple hypotheses simultaneously, and generates one-click remediation scripts or pull requests for code fixes. Disto claims to slash mean time to resolution by 75% and reach solutions 10x faster than human engineers.

Traction –/10
HQ unknown
  • AI Agents
  • Artificial Intelligence
  • Developer Tools
  • Software Only
Updated 27 days ago

Funding

Funding rounds are not available yet.

Founders

Founder details are not available yet.

Product

Problem

Engineering teams spend significant time manually investigating production incidents, sifting through logs, metrics, and traces to identify root causes. This process is slow, error-prone, and often requires deep expertise across multiple system components, leading to extended downtime and disrupted development cycles.

Solution

Disto is an AI-powered on-call engineer that autonomously diagnoses and resolves system issues. It processes large volumes of operational data in seconds, testing multiple hypotheses simultaneously to reach solutions far faster than manual investigation. The platform maintains expert-level knowledge across the entire system, correlating code, logs, metrics, and traces to pinpoint root causes and explain the reasoning behind each finding. Disto then generates actionable remediation—either a one-click execution script or a pull request for code changes—allowing engineers to resolve issues with minimal effort.

Target Audience

Primary users are DevOps engineers, site reliability engineers, and software development teams at companies that operate production systems and need to minimize downtime and reduce on-call burden.

Features

  • Semantic reasoning engine that identifies the most relevant code, logs, traces, and application data for each incident
  • Concurrent analysis of code, logs, metrics, and traces to accelerate root cause identification
  • Automated hypothesis testing across multiple potential causes simultaneously
  • One-click remediation script generation for immediate issue resolution
  • Pull request creation for code-level fixes that require deployment
  • Coverage of common downtime causes including configuration errors, performance bottlenecks, permissions issues, dependency conflicts, language-specific bugs, and logic errors
This profile is AI-generated and may contain inaccuracies.