In line with ISO 25010:2023, we implement a hierarchical quality evaluation methodology. This process relies on software metrics derived from source code properties, such as complexity, coupling, cohesion, and documentation quality, assessed at the function, class, and package levels.

We use AI- and ML-driven techniques to analyze a large, evolving benchmark dataset, identifying patterns in property values and optimizing formulas that assess maintainability, security, and their sub-characteristics.

Your heads-up display when running a software team. Get a clear picture of how your software projects are going. Identify pain points, act fast, and avoid risks building up.

Set up your own notification plan, tailored to the specifics of your projects and your team. So that information is relevant to your needs and not generic mumbo-jumbo.

Easily manage work across projects and teams. Get productivity analytics and performance alerts for your team across the various stages of the software development pipeline.

Have a single point of reference for a full overview of your team's workload. Use quantifiable analytics and drill-down insights to see who is working on what. This helps you get the best from everyone, address possible delays, assign tasks optimally, and boost collaboration efficiently and transparently.