Public and municipal institutions often need not abstract AI models, but clear tools for data analysis, problem detection, decision prioritisation and communication between departments.
The laboratory works with tasks where data must be turned into a clear picture: maps, indicators, period comparisons, load rankings, anomaly search or report generation.
For the public sector, transparency, reproducibility and practicality matter. We therefore focus on solutions that can be explained, verified and used in everyday work by responsible employees.
AI for the public sector works best when there is a specific question, data for a period and responsible users who need the result.
In the Lviv road-infrastructure research project, the system builds statistics by intersections, roads and time intervals. This approach helps not only see a problem, but compare load and search for causes of complications.
It is best to start with a limited pilot: one workflow, one dataset, one user type and a clear success criterion. After that, the system can be scaled to more districts, departments or tasks.
We are open to cooperation with city councils, public institutions, universities, municipal enterprises, laboratories and teams working on socially useful digital solutions.
No, but data quality, format, time period and constraints must be understood. Often the first project stage is data audit and realistic technical framing.
Yes. The laboratory is ready to consider non-commercial projects for communities, public institutions and socially important tasks when there is a responsible partner and a clear expected result.
The laboratory is ready to discuss research, prototypes and non-commercial projects with universities, laboratories, companies, hospitals and public institutions.
