Case studies: reliable systems, not demos.
Short, concrete write-ups of what was blocked, what was built, and what changed: across optimization, clinical decision support, and R&D platforms.
4
Case studies
1
Production
1
Pilot running
3
Domains
Proof map: cases × capabilities
Hover a case or capability to highlight connections.
All cases
4 total
Marketplace optimization under constraints
Named: Aimwel (joint venture DPG Media + Randstad)
Spend allocation decisions under uncertainty with delayed, noisy feedback.
+32% improvement at fixed budget.
Privacy-preserving clinical decision support
Named: GeriMedica: geriatric EHR platform (NL)
Clinicians drowning in narrative data; no actionable signal surfaced at decision time.
Pilot running: extraction, explainability surfaces, and workflow integration path defined.
Biotech R&D data platform
Confidential client: instrumentation company (NL)
Annotation and data sharing at scale was a bottleneck; inconsistent flows blocked downstream ML.
Large-scale annotation and sharing enabled; pipelines operational.
Real-world efficacy modelling
Confidential: hospital + pharma collaboration (NL)
Beyond A/B: explain outcome drivers from observational data under privacy constraints.
Actionable insight into outcome drivers; decision framing delivered.
Built with EU traceability + oversight expectations in mind. (EU AI Act / digital-strategy.ec.europa.eu)
Security-aware GenAI integration patterns. (ISPE / ispe.org)
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