Integrated Time Tracking System

This project has received funding from the European Union’s Horizon 2020 research and
innovation programme under grant agreement No 861599

Time Tracking

How much time did you work today? How can you discern time invested among different projects or clients? How can you measure efficiency? How are your pauses spread across the day?


Artificial Intelligence and Machine Learning algorithms identify time spent on tasks, activities and pauses. Their clustering allows for smart distributin of grouped tasks to separate projects or clients.

Minimum user intervention

Purpose of the IT-TRAS project is twofold; minimise user intervention in efficiency measurement and optimise the accuracy of clustering in order to provide a meaningful allocation of workhours to set targets.