Machine learning, computer vision, NLP, data analysis, decision-support systems and applied experiments for academic or institutional tasks.
Współpraca AI
Współpraca w AI i rozwiązaniach software
The laboratory is open to partnerships with universities, research laboratories, public institutions and companies that need applied AI research, pilots, integrations and reliable software solutions.
UniversitiesResearch laboratoriesPublic institutionsCompaniesEducational programsApplied AI teams
What we can do together
Research, pilots and integration
We focus on practical cooperation where scientific expertise, engineering implementation and university infrastructure can produce a clear result.
Problem analysis, prototype design, model selection, proof-of-concept implementation and evaluation on real or prepared datasets.
Web services, internal tools, data-processing pipelines, dashboards and integrations for educational, research, public-sector or company workflows.
Access to university AI infrastructure, consulting on deployment, containers, GPU inference and reproducible research environments.
Non-commercial initiatives
We are open to socially useful projects
The laboratory is ready to consider non-commercial projects where artificial intelligence can create measurable public, educational, medical, environmental or institutional value. We are especially interested in initiatives with a clear problem, responsible data handling and a realistic path from research prototype to practical use.
How cooperation starts
A clear path from request to result
The partner describes the problem, expected outcome, available data and possible constraints.
We define the research or engineering scope, risks, resources and realistic delivery format.
The team prepares a prototype, experiment, analytical report or integration plan.
Successful pilots can move into deployment, publication, training materials or long-term cooperation.
Ready to discuss a joint AI task?
Write from an institutional email and briefly describe the goal, expected timeline and available data or system context.