Frequently asked questions

Deventura helps companies understand how AI affects software delivery. It connects AI adoption, engineering activity, and delivery outcomes to show where AI creates value and where it doesn't.

Deventura is built for leaders who need objective insight into AI impact, including CFOs, CEOs, Private Equity teams, and technology leaders responsible for AI investment decisions.

Deventura analyzes software delivery signals, but the focus is on understanding how AI changes delivery outcomes across teams, workflows, tools, and agents. It helps organizations evaluate AI-assisted output, review health, rework, lead time, and investment return. So leaders can make better decisions about where AI creates value.

Deventura helps analyze areas such as AI-assisted output, code review health, rework, lead time, before-and-after impact of AI initiatives, differences across teams and departments, AI agents, and AI investment return.

Yes. Deventura can compare performance across time periods to help identify what changed after an AI rollout, agent introduction, tool change, or process change. This helps separate launch activity from lasting delivery impact.

Yes, on the delivery side. Deventura measures the delivery outcomes that AI investments are meant to improve, including output, lead time, review behavior, rework, and quality signals. Combined with your own AI cost data, this gives you the delivery-side evidence needed to evaluate whether AI investments are creating value.

Deventura uses AI analysis to assess whether code appears to be written with AI assistance. This gives leaders a practical way to understand AI-assisted output without relying only on surveys or self-reporting.

Yes. Deventura can compare software delivery signals across teams, departments, technology areas, and repositories. This helps identify where AI adoption appears to create the strongest effect and where additional investigation may be needed.

Yes. When AI agents create code under their own identity, such as a bot or service account, Deventura can analyze their activity like other contributors. This makes it possible to compare agent throughput, complexity, review impact, lead time, and rework.

Deventura analyzes software delivery activity data from systems such as GitHub or GitLab. This can include metadata about contributions, merge requests, reviews, lead time, rework, and related delivery signals. The exact data processed depends on your integration and configuration.

Deventura does not store source code. It analyzes the delivery signals required to generate insights, while keeping code exposure to a minimum.

No. Data processed by Deventura is not used to train AI models.