Sleuth provides an AI-powered engineering intelligence platform that tracks DORA metrics and automates engineering reviews by integrating with tools like Jira and GitHub. This solution enhances team alignment and execution, ensuring predictable delivery and improved developer productivity without intrusive monitoring.
Funding
$25M 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
Engineering teams often struggle to align their work with business objectives, leading to misallocation of resources and unpredictable delivery timelines. Siloed data and lack of visibility into key performance indicators make it difficult to identify bottlenecks and proactively address potential slowdowns. Traditional methods of tracking progress and conducting engineering reviews are often manual, time-consuming, and lack actionable insights.
Solution
Sleuth provides an AI-powered engineering intelligence platform that connects business goals with engineering execution. By integrating with tools like Jira and GitHub, Sleuth automatically tracks DORA metrics, summarizes key data, and highlights important trends. The platform facilitates data-driven engineering reviews, enabling teams to identify areas for improvement, ensure predictable delivery, and maintain developer happiness. Sleuth helps engineering leadership operationalize data, drive alignment conversations, and make informed decisions about resource allocation and project prioritization.
Target Audience
Sleuth is designed for engineering executives, managers, and developers who want to improve team alignment, ensure predictable delivery, and increase developer productivity.
Features
- Automated DORA metrics tracking with clear visualizations and trend analysis
- AI-powered summaries of engineering data, highlighting key insights and potential risks
- Customizable engineering review templates pre-filled with data from integrated tools
- Collaborative review process with commenting, task tracking, and outcome management
- Integration with Jira, GitHub, and other popular engineering tools
- No-code automations for PR checks, notifications, and workflows
- Cost allocation and work breakdown analysis for resource optimization