Healthcare

Secure data platforms and AI that support clinicians and reduce paperwork

Solutions › By Industry › Healthcare

Healthcare providers and health-tech companies handle sensitive data under strict rules, with clinicians who have no time for clumsy software. The gains from data and AI are real, from faster documentation to better resource planning, but only if privacy, accuracy and clinician trust come first.

We build compliant data platforms, reporting and AI-assisted tools for hospitals, clinics, diagnostics and health-tech start-ups, with role-based access, audit trails and human review built in from the start.

Challenges we see

  • Patient data spread across EMR, lab, billing and scheduling systems
  • Hours of clinician time spent on documentation and coding
  • Reporting to regulators and insurers compiled by hand
  • Strict privacy rules that make AI adoption feel risky
  • Shortage of engineers who understand healthcare data

Technologies we use

  • Azure
  • AWS
  • FHIR / HL7
  • Snowflake
  • Databricks
  • Azure OpenAI
  • Power BI

What we offer healthcare companies

Healthcare data platform

Consolidated, access-controlled data from clinical and operational systems.

Document and record intelligence

AI extraction and summarisation of records, referrals and reports with clinician review.

Operational analytics

Bed, staff and appointment dashboards for planners.

Patient and staff portals

Self-service booking, results and internal tools.

Compliance-ready engineering

Audit logging, encryption and access controls as standard.

Common questions

How do you handle patient privacy?

Data stays in your environment, access is role-based and logged, and AI features run on private endpoints with no training on your data.

Will AI make clinical decisions?

No. Our tools draft, summarise and flag. Clinicians decide.

Do you work with small clinics?

Yes. We scale the approach to the size of the organisation.

Working in healthcare?

Tell us your biggest data or hiring problem and we will say how we would approach it.