Health & life sciences

Real-world evidence and hospital operations, with patient data treated as such.

Privacy-preserving analytics over national registries, protocol-design automation for health-technology assessment, and AI-application development across hospital systems — delivered with EU AI Act and clinical-data discipline.

GDPR-nativeEU AI Act readinessClinical audit trail
Where we focus

Three focal points in this vertical.

◆01

Real-world data and evidence

Pipelines over inpatient records, dispensing data and civil registries, with protocol templates that compress follow-up cycles.

◆02

Hospital operations

Elective-recovery forecasting, capacity planning and AI application development for the panels Europe's largest hospital systems put on frameworks.

◆03

Clinical document intelligence

Extraction and structured summarisation of clinical and regulatory documents, audited against human adjudication.

In practice

What this looks like on programme.

🇩🇰Denmark·HealthActive engagement

Real-world data for precision cancer medicine

Major Nordic national medicines authority

Problem

Ongoing validation of new cancer medicines in real-world patient populations, against fragmented national health registries.

Approach

Privacy-preserving pipeline over LPR3-class inpatient data, pharmacy dispensing, and civil-registry linkage, with reusable protocol templates that compress follow-up cycles from nine months to three.

Capability

Regulatory-grade epidemiology, Git-versioned analytical code, sworn translation, monthly steering cadence.

PythonDuckDBPostGISdbtQuartoGDPR-native pipelines
🇫🇮Finland·HealthActive engagement

AI and data-engineering panel for a national hospital system

Largest Nordic hospital district

Problem

Multi-site demand for AI application development and lakehouse operations across five regional health authorities, with EU AI Act and clinical-data constraints.

Approach

Joined the supplier panel across two specialisms — AI application development (LLMs, agentic workflows) and data production (Data Vault 2.0 on Databricks) — with healthcare-regulated delivery practice.

Capability

EU AI Act readiness, clinical-data discipline, dual-track delivery.

DatabricksData Vault 2.0LangGraphDelta Lake
🇪🇺Europe·Cross-sectorDelivered

Enterprise GenAI and RAG for Industry Solutions Delivery

Microsoft Corporation

Problem

European enterprise clients across energy, biotech, and financial services needed production-grade retrieval-augmented generation over unstructured PDFs and platform data.

Approach

Document ingestion pipelines, intelligent extraction, and enterprise platform integration under Microsoft's ISD delivery umbrella.

Capability

RAG in regulated enterprise settings, multi-sector delivery.

Azure OpenAILangChainAzure AI SearchPython
Engage

Brief us on your programme.

We work with public-sector buyers in the UK, the Nordics, the Benelux and the Baltics. Tell us the problem — we'll tell you if we can help.