CleverDev provides an AI‑powered engineering intelligence platform that aggregates data from Git, CI/CD pipelines, test coverage tools, and issue trackers to deliver actionable insights on software quality. By predicting regressions, assessing release readiness, and highlighting coverage gaps, it helps engineering leaders monitor and improve quality continuously, enabling more reliable releases.
Funding
Funding not disclosed
Founders
Product
Problem
Software teams invest heavily in testing and DevOps tools, yet quality issues often surface late—in staging, production, or after release—because engineering signals are fragmented and not tied to decision‑making processes.
Solution
CleverDev offers an AI‑powered engineering intelligence platform that aggregates data from Git repositories, CI/CD pipelines, test coverage tools, and issue trackers. By applying machine‑learning models to these unified signals, the platform predicts regressions, assesses release readiness, and highlights gaps in test coverage. The resulting insights are presented as actionable metrics that help engineering leaders monitor software quality continuously and make informed release decisions. This turns disparate development data into a measurable, manageable view of quality across the entire software lifecycle.
Target Audience
Primary customers are engineering leaders, QA managers, and DevOps teams at mid‑size to large software organizations seeking to improve release confidence and reduce post‑release defects.
Features
- Automatic ingestion of data from common SDLC tools (Git, CI/CD, coverage, issue trackers) for a unified data model
- AI-driven predictions of regression risk and release readiness based on historical defect and test trends
- Real‑time dashboards showing coverage gaps, delivery bottlenecks, and quality health indicators
- Trend analysis that quantifies quality improvements over time and surfaces actionable recommendations
- Integration layer that embeds insights directly into existing development workflows and reporting tools