Delphyr


Developer of a purpose-built medical AI assistant that integrates directly into electronic health record (EHR) systems to automate administrative tasks, generate clinical documentation, surface evidence-based guidance, and support multidisciplinary workflows. The platform emphasizes European data residency, GDPR compliance, medical-device regulation alignment (MDR), and information security certifications while offering pilots, integration assessments and an invite-only beta.

Industries

artificial-intelligence
health-diagnostics
medical
medical-device
software

Nr. of Employees

small (1-50)

Delphyr

Amsterdam, Noord-Holland, The Netherlands, Europe


Products

Clinical AI assistant platform

A platform that integrates a purpose-built clinical language model with EHR systems to provide search, summarization, documentation generation and automated workflows directly inside the clinical UI.

Medical language model (clinical LLM)

A medically-aligned large language model deployed within a secure European infrastructure to support clinical summarization, note generation and workflow automation.


Services

Tailored AI workflow assessment

30-minute consultation and assessment to identify where AI can streamline documentation, data access and decision-making, producing an implementation roadmap.

Pilot programs and integration engagements

Pilot deployments with clinical partners to measure real-world efficiency gains, customize integrations and iterate on clinical use cases.

Invite-only beta access

Closed beta program providing early access to the clinical AI assistant while controlling rollout and quality for early users.

Expertise Areas

  • Clinical workflow automation
  • EHR integration and interoperability
  • Clinical documentation and summarization
  • AI model development for healthcare
  • Show More (4)

Key Technologies

  • Medical large language model (clinical LLM)
  • Natural language processing (NLP)
  • Speech-to-text transcription
  • EHR-native integration and bidirectional APIs
  • Show More (4)

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