A Genetico Platform

The clinical infrastructure for rare and genetic disease

Clinical workflows, AI-assisted decision support, structured longitudinal data, and analytics — brought together in one intelligent ecosystem built for the institutions that treat the hardest cases.

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RAPID Score™Illustrative

4-year-old · febrile seizures, developmental delay · SCN1A variant detected

Dravet Syndrome74%

GEFS+48%

Lennox-Gastaut23%

12HPO matched

47Publications

OMIMConfirmed path.

Inside the platform

01The Platform 02Clinical Intelligence 03Longitudinal Care 04Infrastructure 05Security

Deployed with leading institutions

01 · The Platform

Intelligent Data Capture for Rare Disease Care

AI-assisted data capture, structured clinical workflows, and intelligent automation reduce manual effort while improving the quality, consistency, and usability of rare disease data.

Genetic Data Capture

Pedigree Intelligence

Create detailed family pedigrees through an intuitive visual interface designed for clinical genetics. Capture inheritance patterns, phenotype relationships, and family history as structured data that supports diagnosis, clinical decision support, and future analysis.

Interactive pedigree builder with automated relationship mapping

Visualize inheritance patterns and genetic relationships

Integrated with longitudinal patient records and clinical workflows

02 · Clinical Intelligence

Clinical Decision Support System

AI-assisted clinical decision support that combines phenotypic, genomic, and clinical evidence to help clinicians evaluate complex rare disease cases with greater confidence.

RAPID Score™

Prioritizes likely differential diagnoses by continuously analyzing structured phenotypic, genomic, and clinical data as new information becomes available.

AI-Assisted Differential Diagnosis

Dravet SyndromeG40.8274%

GEFS+G40.3048%

Lennox-GastautG40.81223%

Angelman SyndromeQ93.5115%

Evidence-Based Clinical Reasoning

Every recommendation is fully traceable to structured phenotypic data, genomic findings, clinical guidelines, and published literature, ensuring AI remains transparent, explainable, and clinician-controlled.

Transparent & Explainable AI

Phenotypic Features12 matched

Genomic VariantsSCN1A detected

Literature Evidence47 publications

OMIM ClassificationConfirmed pathogenic

Disease Comparison & Clinical Disambiguation

Compare clinically similar rare diseases side by side using phenotypic overlap, genomic findings, inheritance patterns, and supporting evidence to improve diagnostic confidence.

Disease A

Dravet Syndrome

Febrile seizuresSCN1A variantHypotoniaPhotosensitivity

Shared

EpilepsyDev. delayEEG changes

Disease B

Lennox-Gastaut

Multiple sz. typesSlow spike-waveAtonic seizuresCognitive impairment

03 · Longitudinal Care

From Patient Journeys to Longitudinal Intelligence

Build lifelong patient records that evolve with every consultation, enabling continuous care, AI-assisted insights, outcome tracking, and research-ready longitudinal data.

Longitudinal Patient Journey

Capture every milestone in a patient's rare disease journey, from referral and diagnosis to treatment and follow-up, through structured longitudinal records that support continuity of care and informed clinical decisions.

Unified patient timeline across every clinical encounter

AI-assisted visit summaries and clinical documentation

Track disease progression, treatment response, and outcomes over time

Patient Timeline

Jan 2024Initial Referral
Mar 2024Genomic Workup Ordered
Jun 2024Diagnosis Confirmed
Active
Sep 2024Follow-up Review
Jan 2025Treatment Update

Advanced Clinical Analytics

Transform structured clinical data into real-time dashboards that reveal patient trends, cohort insights, disease progression, and operational performance across institutions.

Interactive cohort analysis and disease trend visualization

AI-assisted analytics for clinical and research insights

Export research-ready reports and population-level evidence

Patient Cohort Trend

1,247Active Patients

94%Data Completeness

312Diagnoses / Month

JanFebMarAprMayJunJul

04 · Infrastructure

Built for Enterprise Healthcare Environments

Designed to integrate with existing healthcare ecosystems while providing the flexibility to deploy across hospitals, research institutions, and public health programs without disrupting existing workflows.

Integrations

IndiGeneUs.AI is designed to work alongside your existing digital ecosystem. Connect with hospital information systems, laboratory platforms, genetic testing workflows, and external knowledge resources to create a unified clinical experience.

HL7 / FHIR-native exchange with hospital systems

Direct connections to LIMS, lab and genetic testing platforms

Live lookups against OMIM, ORPHANET and HPO

Integrations

HL7 / FHIREHR SystemsLab APIsOMIMORPHANETHAPI-FHIRCustom WebhooksDICOM

Deployment Flexibility

Whether deployed on-premise or in the cloud, IndiGeneUs.AI adapts to institutional security, compliance, and operational requirements while ensuring scalability and performance.

Cloud, on-premise or fully air-gapped deployment

Institution-controlled data residency and retention

Scales from a single centre to a national programme

Deployment

Cloud-Based

Managed infrastructure, auto-scaling, zero operational overhead.

On-Premise

Full data sovereignty, custom infrastructure, air-gapped options.

Hybrid

Mix of cloud and on-premise based on data sensitivity policies.

05 · Security & Compliance

Built for Trust. Designed for Healthcare.

Every layer of IndiGeneUs.AI is designed to protect sensitive clinical and genetic information through enterprise-grade security, transparent governance, and institution-controlled data ownership.

Enterprise-grade Data Protection

Clinical and genomic data is encrypted during transmission and storage using industry-standard security protocols.

Role-based Access Control

Granular permissions ensure every user accesses only the information relevant to their clinical or operational responsibilities.

Complete Audit Trails

Every action is securely logged, providing full traceability, accountability, and compliance across clinical workflows.

06 · Get in Touch

Build the Future of Rare Disease Care with IndiGeneUs.AI

Discover how AI-assisted clinical workflows, structured data intelligence, clinical decision support, and advanced analytics can help transform rare disease care across your institution.

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