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Healthtech · Health Data & Interoperability · 50–200 · Europe #b030_06

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Context

We operate secure cloud workspaces where hospitals, universities and research consortia share and analyse sensitive health datasets under strict governance.

Industry: Healthtech · Health Data & Interoperability
Size: 50–200 employees
Region: Europe
Tools budget: $1K–5K per month
Needs: Privacy & data protection (GDPR/HIPAA). Researchers in many countries work on sensitive records in our workspaces; every new jurisdiction adds data protection obligations we must evidence.
Identity & access management. Granting and revoking researcher access to individual datasets across consortia is still too manual and error prone.
Guardrails for AI agents and LLM apps. Customers want to run AI models on protected datasets; we need controls proving nothing sensitive leaves the environment.
Expects from suppliers: Fine-grained, auditable access controls; Alignment with European health data space rules; Works inside customer-controlled cloud tenancies
Not a fit: Consumer analytics tools without governance features; Vendors unwilling to support data egress review
Stack: cloud: Azure-class hyperscaler, compliance tooling in place, Kubernetes
Buying triggers: regulatory change, AI adoption push

Needs

NEEDHealthtech · Health Data & Interoperability · 50–200 · Europe #b030_06Simulated· Compliance

We run shared research workspaces where specialists in many countries analyse sensitive health records. Each new jurisdiction adds data protection duties we must prove, not just claim. We need a solution that maps obligations per region, produces audit-ready evidence on demand, fits inside customer-controlled cloud tenancies, and stays aligned with European health data space rules.

Budget: $1K–5KTrigger: regulatory changeStack: cloud: Azure-class hyperscaler

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