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-sovelluskehitys 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.