Three purpose-built solutions. Pick the one that describes you — the rest of this page is optional.
Complex genetic cases, fragmented records, and hours of documentation before a decision can be made.
Natural history studies and cohort discovery held back by unstructured, site-by-site data.
National programmes need a live view of patients, centres, and outcomes — not periodic spreadsheets.
One workflow, four layers — from the clinic visit to the national registry.
Structured intake at the point of care — phenotype, history, and documents converted into computable fields instead of free text.
Intelligent data captureClinical decision support surfaces ranked differentials with the evidence behind each one, inside the existing workflow.
CDSSOne longitudinal record per patient across visits, departments, labs, and centres — no re-entry, no duplication.
Longitudinal recordCohorts, registries, and programme dashboards built from the same structured data the clinic already produced.
Registry & analyticsEnterprise-grade security, privacy, and compliance in every layer of the platform.
Your institution retains full ownership and control of its data.
Access is restricted based on user roles and responsibilities.
Every action is securely logged for complete traceability.
Data is protected through encryption in transit and at rest.
Hosted on enterprise-grade infrastructure with continuous monitoring.
Genetico, IndiGeneUs.AI, and how we are building the digital backbone for rare and genetic disease care.
Genetico is building the digital backbone for the rare and genetic disease ecosystem. By connecting clinical care, research, public health, and AI, we transform fragmented healthcare data into structured, interoperable, and actionable intelligence.
IndiGeneUs.AI is our AI-enabled clinical genetics platform. It structures complex clinical workflows, captures patient data in a standardized format, and supports AI-assisted clinical decision-making for rare and genetic disorders.
Hospitals, clinicians and Centres of Excellence; life science and biotech research teams; and government and public health programmes running national rare disease initiatives.
Yes. IndiGeneUs.AI is designed to sit alongside existing hospital systems and to exchange data using standard clinical vocabularies and interfaces, so it complements rather than replaces your infrastructure.
Unstructured notes cannot be searched, compared, or aggregated. Structured data makes decision support, cohort discovery, registry reporting, and programme analytics possible from the same record a clinician already writes.
Tell us who you are and we will route you to the right team — clinical, programme, research, or partnerships.