Hivel is a platform that provides AI-driven insights by correlating data from Git and Jira to measure engineering metrics such as deployment frequency and cycle time. It enables engineering teams to identify bottlenecks and inefficiencies, enhancing productivity and streamlining development workflows.
Funding
Funding not disclosed


Founders
Product
Problem
Engineering teams often lack clear visibility into their development processes, leading to bottlenecks, inefficiencies, and difficulty in measuring performance. Traditional methods of tracking engineering metrics are often manual, time-consuming, and lack the comprehensive insights needed for data-driven decision-making. This lack of insight hinders productivity and makes it challenging to optimize workflows.
Solution
Hivel is an AI-powered platform that correlates data from Git and Jira to provide engineering teams with actionable insights into their performance. By analyzing historical data, Hivel identifies bottlenecks, uncovers inefficiencies, and helps teams optimize their development workflows. The platform offers a comprehensive view of engineering metrics, including deployment frequency, cycle time, and code churn, enabling leaders, managers, and engineers to make data-driven decisions. Hivel's AI-driven insights and benchmarking capabilities empower teams to improve productivity, streamline processes, and achieve operational excellence.
Target Audience
Hivel is designed for CTOs, VPEs, Engineering Managers, and Developers who need data-driven insights to improve engineering team performance and optimize development workflows.
Features
- AI-driven insights that correlate data across Git and Jira to identify bottlenecks and inefficiencies.
- DORA metrics dashboard to measure and improve feature release speed, issue frequency, and code churn.
- Benchmark feature for relative evaluation, allowing teams to compare their performance against industry benchmarks and team averages.
- Outlier alerts and root cause analysis to quickly identify and address critical issues.
- Tactical suggestions for improving engineering processes and accelerating development.
- Integration with Slack for timely reminders and async collaboration.
- Investment profile to track resource allocation and project progress.
- Goal setting feature to align team objectives and track progress towards key milestones.