Purpose-built for Centers of Excellence
Give clinical genetics teams AI-assisted workflows, decision support, longitudinal patient management, and research-ready data — inside one platform, without changing how your clinic runs.
Illustrative interface. Clinical decisions always remain with the treating clinician.
The hardest patient journeys, run on the loosest tooling
Centers of Excellence manage some of the most complex cases in medicine — yet clinicians still work across fragmented notes, manual documentation, and disconnected systems.
How IndiGeneUs.AI supports the whole rare disease journey
From intelligent capture at intake to longitudinal follow-up, each step leaves your centre with better records than it started with.
AI-assisted clinical workflows
Standardize complex pathways with configurable workflows built for genetic and rare disease programmes — so every consultation is documented the same way.
AI-powered data capture
Digitize reports, extract HPO terms, and structure clinical information through AI-assisted OCR and phenotype extraction — reviewed and confirmed by your team.
Evidence-driven differential diagnosis
RAPID Score™ combines phenotypic, genomic, and clinical evidence into a ranked differential — every candidate traceable to the evidence behind it.
Longitudinal patient intelligence
Track patient journeys, monitor outcomes, and enrich structured datasets for care, analytics, and research — with recalls and reviews surfaced automatically.
Turning clinical care into measurable impact
Meaningful improvements in clinical efficiency, diagnostic confidence, and the institutional intelligence your centre keeps.
Documentation and HPO coding stop competing with patient time.
The same case yields the same reasoning, reviewable by the whole team.
Care generates the dataset your research and reporting already needed.
Figures reflect observed improvements at partner centres and depend on case mix and existing workflows.
Enable smarter rare disease care at your centre
See how IndiGeneUs.AI streamlines clinical workflows, supports faster diagnosis, and leaves your centre with research-ready data. Pilots typically start in two weeks.