Standards & complianceHL7 FHIRGA4GHACMG/AMPCPICABDMSAHIGDPRDPDPISO 27001
The platform · Project LIFE

One framework. Three layers. Every clinical question.

Project LIFE — the Longitudinal Integrated Framework for Enhanced healthcare — runs as three connected layers, unified by a lifelong Digital Twin and built on open standards.

Layer view 01 — Intelligence

A reasoning system, not a black box.

Learned models are grounded by an explicit, curated knowledge graph. Reading top-down: copilots serve the clinician; every layer beneath exists to make the layer above defensible.

Interface — AI copilotsRole-aware assistants for the geneticist, physician and researcher — the surface a human actually works in.
Reasoning — criteria engine & XAIApplies ACMG/AMP-style guideline logic transparently and attaches evidence, sources and confidence to every assertion.
Language — medical LLM + RAGDrafts and synthesises over retrieved, cited evidence — never from parametric memory. No citation, no assertion.
Evidence — knowledge graph & GNNsCurated genes, variants, diseases and drugs, with graph neural networks scoring gene–disease and variant relationships.
Foundation — transformer modelsSequence-aware models for variant effect and phenotype matching — the learned substrate everything above is grounded against.
Layer view 02 — Architecture

Cloud-native, standards-based, API-first.

Stateless interpretation scales horizontally; a shared, stateful evidence substrate keeps every result consistent and reproducible years later.

01
Ingest

Sequencing output and clinical data enter through the API gateway — FASTQ, BAM/CRAM, VCF, FHIR.

02
Interpret

Annotation, prioritisation and reasoning over a federated evidence graph, with human review.

03
Report

Structured, interoperable results in HL7 FHIR Genomics, dropping into existing EHR/LIMS workflows.

04
Digital Twin

Every result accretes into a longitudinal, computable model of the patient — reinterpretable over time.

Substrate: event streaming · data lakehouse · vector DB · knowledge graph · Kubernetes on regional / sovereign cloud.

Layer view 03 — The Digital Twin

Eleven layers. One lifelong asset.

The genome is fixed; its meaning is re-read as knowledge, phenotype, nutrition and environment evolve.

The Digital Twin belongs to the platform, not to any one product. OmnigeniX writes molecular interpretation into it, CytoMind simulates against it and gives the individual a surface onto it, and TheraMind reads it at the point of care. One twin, one identity, one consent record, one audit trail.

01 GenomeVariants and annotations — stable genetic baseline, reinterpretable for life.
02 Multi-omicTranscript, protein and metabolite state — the current operating state.
03 ClinicalDiagnoses, history, medications — context for genotype–phenotype reasoning.
04 PhenotypeHPO-coded signs — drives phenotype-aware prioritisation.
05 LaboratoryLabs and biomarkers — dynamic physiological state.
06 RadiologyStructured imaging findings correlated with molecular signal.
07 NutritionIntake, composition and timing — the largest modifiable input in chronic disease.
08 LifestyleBehaviour, activity and sleep.
09 WearableContinuous device signals — real-time monitoring and trends.
10 EnvironmentalExposures, geography, socioeconomic context.
11 PopulationCohort context for comparative and public-health inference.
Principles

Built for software that lives next to patient care.

Explainable

Every assertion links to the criteria and citations behind it — auditable years later.

Human-in-the-loop

AI augments the expert; a named clinical reviewer stands behind every result.

Standards-native

FHIR and GA4GH built in, not adapted — interoperability is the strategy.

Sovereign by design

Cloud-agnostic Kubernetes keeps data inside the borders that require it.

Get started

Put the platform to work on your cases.

Anchor sites are partners, not customers — early capability and a real say in the roadmap.