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Healthcare

Governed data and AI for sensitive healthcare data.

Healthcare organisations hold some of the most sensitive data there is, spread over many systems and sites. We build governed data platforms and AI that keep that data under your control.

Book a callFree quick checks

01 / Problems

Problems we often see

These are situations we meet in this sector. They describe common patterns, not your organisation.

  • Data spread over systems and sitesRecords, planning and operational data sit in separate systems, and combining them for analysis is slow.
  • Access that must be explainableAccess has to be clear per person and per purpose, and policies are hard to test before a release.
  • Letters and reports as free textClinical and administrative documents hold useful data in free text, and nobody has time to extract it by hand.
  • AI that cannot leave the organisationPatient-related data may not go to an external AI service, which blocks many off-the-shelf tools.

02 / What we build

What we would build

The services that fit these problems. Each links to its own page with deliverables and approach.

  1. Problems we often see
    • Data spread over systems and sites
    • Access that must be explainable
    • Letters and reports as free text
    • AI that cannot leave the organisation
  2. What we would build
    • Data platforms
    • Document AI
    • Sovereign and self-hosted AI
    • AI harnesses
  3. Where to start
    • Data platform maturity check
    • Data & AI quick scan
  • Data platforms. A governed platform with access per group, shared data across sites and every change reviewed as code.
  • Document AI. Turns documents into structured data in your own tenant, with a human review step.
  • Sovereign and self-hosted AI. AI on open-weight models that runs where your data may stay.
  • AI harnesses. Evaluation and guardrails, so an AI system is tested on your own tasks before it is used.

Data platforms Document AI Sovereign and self-hosted AI AI harnesses

03 / Best first step

Where to start

Start with a free check, then take the first engagement that fits. Both end in a conversation, and we quote after that conversation.

  1. Data platform maturity check

    Free check

    How mature is your data platform? Foundation, governance, delivery and use.

  2. Data & AI quick scan

    Typical duration: 2 to 3 days

    Check how mature the data platform is, then use the quick scan to rank the use cases by value, effort and risk.

Take the checkAsk for a quote

Data & AI quick scan

  • Current state of systems, data and manual work
  • Three use cases ranked by value, effort and risk
  • Roadmap with a pilot proposal
  • Session with management to discuss the result

04 / Related work

Related case studies

05 / Articles

Related articles

Next step

Which sector problem is yours?

Tell us what you run today and where the manual work sits. We say whether AI or a data platform fits, and what a first step is.

Book a callSend a messageor email info@nexops.nl directly

Accepting projects for Q4 2026