Data for medical research
Making medical imaging data useful for research.
A platform that helps research teams find and obtain relevant imaging data, with automated preparation and controlled access.
Read the case studySystems we have built.
See how we approached hospital imaging, public-tender work, environmental forecasting and time-sensitive healthcare coordination.
Generative AI · Business context
AI that works with the detail of Polish tenders.
A connected platform for searching, analysing and drafting public tenders and agreements in the context of Polish law.
Read the case studyHealthcare infrastructure
Connecting the systems behind medical imaging.
A diagnostic workstation for receiving, visualizing and working with DICOM imaging data from PACS infrastructure.
Read the case studyPredictive engineering
From sensor data to water-quality forecasts.
A predictive layer linking environmental time-series data, model evaluation, training and inference APIs.
Read the case studyHealthcare workflows
Giving donor coordination a clearer workflow.
A dedicated system for donor notifications, operational information and coordination at an eye bank in Poland.
Read the case studyExperience that transfers
Different industries. Shared engineering patterns.
The domain changes, but the same problems recur: specialized data, existing systems, clear action boundaries and people who need to trust the result. Experience across these settings helps us recognize the engineering questions earlier.
Healthcare systems
Specialized formats, sensitive information and workflows that must fit established clinical infrastructure.
Regulated documents
Large document sets, business-specific context and professional review before a draft becomes a decision.
Environmental forecasting
Noisy time-series data, parameter-specific evaluation and reliable paths from model training to inference.
We adapt these methods to each project's data, constraints and operating context.
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