Built for modern clinical research.
Ulalo combines artificial intelligence, clinical knowledge, and healthcare interoperability standards into infrastructure that fits inside the systems clinicians already use.
An integrated stack for intelligent patient matching.
Artificial Intelligence
Purpose-built models trained for clinical eligibility reasoning — not generic chat.
Clinical Knowledge Graphs
Structured representations of conditions, therapies, biomarkers, and protocol criteria.
Healthcare Interoperability Standards
Built on the open standards healthcare systems already rely on to move data safely.
Human-in-the-Loop Validation
Every match surfaces for clinician review. The model recommends; the clinician decides.
Audit-Ready Data Governance
Provenance, access controls, and traceability designed for regulators from day one — aligned with HIPAA, GDPR, and the EU AI Act.
Designed for the constraints healthcare actually operates under.
Privacy First
Patient consent and privacy are not features — they are the foundation. HIPAA-compliant in the US (operating under signed Business Associate Agreements, independently assessed by Konfer), GDPR-aligned in the EU, with data minimization, encryption, and access control by default.
Clinician-Centered
Designed to fit inside existing clinical workflows. No parallel system. No extra friction at the point of care.
Explainable AI
Recommendations come with reasoning. Clinicians see why a patient was surfaced — and can override at any step.
Interoperable
Built on international healthcare standards so we extend the systems hospitals have, instead of replacing them.
Want to go deeper?
Technical, security, and integration documentation is available under NDA for qualifying healthcare and research partners.