Disto provides an AI on-call engineer that automatically diagnoses and resolves production incidents by analyzing code, logs, metrics, and traces simultaneously. The platform uses semantic reasoning to identify root causes and can execute remediation via one-click scripts or pull requests, reducing mean time to resolution by up to 75%.
- Artificial Intelligence
- Developer Tools
- Software Only
Funding
Funding not disclosed
Founders
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