Standards & complianceMulti-omicsKnowledge graphCausal inferenceHL7 FHIRGA4GHACMG/AMPSecure by design
Platform · Intelligence layer

The biological intelligence engine.

OmnigeniX integrates the full spectrum of omics with AI and systems biology to turn complex biological data into actionable intelligence — for precision medicine, research and health at scale.

Decode biology. Deliver insights. Transform care.
The full biological spectrum

One omics layer is a clue. Six is a picture.

Each layer carries unique signal. Integrated, they resolve into a unified, high-resolution view of biology — the basis for precise, personalised decisions.

01 · DNA

Genomics

The DNA blueprint — variants, structure and the stable genetic baseline.

02 · expression

Transcriptomics

Gene expression — which genes are active, where and how strongly.

03 · proteins

Proteomics

Protein abundance — the functional machinery carrying out biology.

04 · metabolites

Metabolomics

Metabolic profiles — the real-time chemistry of physiological state.

05 · microbes

Microbiome

The microbial ecosystem shaping health, immunity and response.

06 · regulation

Epigenomics

Regulation above the sequence — how gene activity is switched and tuned.

The intelligence pipeline

From complex data to clear action, end to end.

A seven-stage pipeline turns raw multi-omics into decisions clinicians and researchers can act on — with provenance recorded at every stage.

01
Capture

High-quality data across all six omics layers, with pipeline provenance recorded on ingest.

02
Integrate

Harmonise diverse datasets into one biological frame, with quality control gates that block rather than annotate.

03
Analyse

Machine learning surfaces patterns and signatures across layers that single-layer analysis cannot resolve.

04
Interpret

Map findings to pathways, networks and mechanism — and classify through a transparent criteria engine.

05
Predict

Risk, progression and treatment response, with calibrated uncertainty attached to every estimate.

06
Deliver

Clear, interpretable, clinically relevant output as HL7 FHIR Genomics resources.

07
Impact

Better decisions and improved outcomes — measured, not assumed.

The AI engine

Learns from biology. Explains with clarity.

A reasoning system that combines multi-omics data, advanced machine learning and systems biology — and shows its working rather than hiding it.

01

Multi-omics integration

Fuses all six omics layers into a unified representation.

02

Advanced AI/ML

Deep learning, ensemble and transfer learning uncover hidden patterns.

03

Systems biology

Networks and pathways model the interactions that drive function.

04

Knowledge graph & ontologies

Curated biology and literature ground every output in context.

05

Causal inference

Mechanistic reasoning identifies drivers, not just correlations.

06

Criteria engine

Classification runs on versioned, inspectable rules — never on the model alone.

OmnigeniX is the reasoning layer of Project LIFE. The agents that surface this reasoning to a clinician or researcher are MSI CORE™ — the AI Agent Layer.

Why it holds up

A reasoning system, not a black box.

OmnigeniX writes molecular interpretation into the platform’s eleven-layer Digital Twin. The twin is owned by the platform, not by any one product — which is why an interpretation made here is still readable at the point of care years later.

Evidence-linkedEvery assertion carries its criteria and citations — auditable years later, not just today.
Deterministic classificationA transparent criteria engine makes the call; the language model drafts over cited evidence only.
ReproducibleImmutable evidence snapshots mean an interpretation issued today can be regenerated exactly in four years.
Conflict surfacedWhere curated sources disagree, the disagreement and the reconciliation rule are both shown.
Standards-nativeHL7 FHIR Genomics output and GA4GH exchange, built in rather than adapted.
Where it makes an impact

Real-world applications.

Precision medicine

Personalised diagnosis and treatment selection guided by whole-biology signatures.

Drug discovery

Find targets, predict efficacy and optimise candidates faster and smarter.

Disease risk & prevention

Predictive biomarkers enabling proactive, preventive care ahead of onset.

Oncology

Multi-omic tumour insight to understand mechanism and guide precision therapies.

What we intend to measure

Outcomes, measured rather than asserted.

We publish no performance figures for OmnigeniX, because none has yet been independently validated. What follows is the endpoint set the anchor-site programme is designed to measure — and we will publish the results whether or not they are favourable.

Diagnostic concordanceAgreement with expert consensus interpretation on curated truth sets, reported separately by variant class rather than pooled.
TurnaroundTime from sample receipt to signed interpretation, measured end to end and per stage.
ReproducibilityProportion of historical interpretations regenerated bit-identically from their provenance record on audit sampling.
Subgroup performanceConcordance, calibration and refusal rate reported by ancestry and other relevant strata.
Reviewer burdenTime from case open to signed report, and the reviewer rejection rate over time.

Pre-registered endpoints. Results published from anchor-site deployments, including negative results.

Get started

Put multi-omics intelligence to work.

Whether you are a clinical programme, a research group or a partner building on the engine — let us find the right way in.