Standards & complianceHL7 FHIRGA4GHACMG/AMPCPICABDMSAHIGDPRDPDPISO 27001
The interpretation layer

Sequencing is solved. Interpretation is the answer.

Soma Nova turns raw genome into a defensible clinical result — diagnoses, drug-response guidance, and risk — with a qualified human signing off every call.

Every clinical assertion is evidence-linked and human-reviewed.
The bottleneck

The lab is fast. The desk is the constraint.

A single genome yields millions of variants and a handful that matter. Resolving them still depends on scarce specialists and manual curation that does not scale.

3.2Bbase pairs in a single human genome
4–5Mvariants called against the reference
<10typically meaningful for the clinical question

Sequencing is commoditising. Interpretation is the durable, defensible layer.

Project LIFE

One framework. Three layers. Every clinical question.

Project LIFE — the Longitudinal Integrated Framework for Enhanced healthcare. A governed Healthcare Data Fabric beneath, MSI CORE as the AI Agent Layer above it, three domain products, and the Trust Fabric governing all of it.

Soma Nova = Healthcare Data + MSI CORE AI Agents + Domain Intelligence + Responsible AI Governance.

The Digital Twin

A living, computable model of the patient.

The genome is fixed; its meaning is re-read as knowledge, phenotype, nutrition and environment evolve. Eleven data layers fuse into one lifelong asset.

01
Genome twinVariants and annotations — a stable genetic baseline, reinterpretable for life.
02
Multi-omic twinTranscript, protein and metabolite state — the current operating state.
03
Clinical twinDiagnoses, history and medications — context for genotype–phenotype reasoning.
04
Phenotype twinHPO-coded signs, driving phenotype-aware prioritisation.
05
Laboratory twinLabs and biomarkers — dynamic physiological state.
06
Radiology twinStructured imaging findings correlated with molecular signal.
07
Nutrition twinIntake, composition and timing — the largest modifiable input in chronic disease.
08
Lifestyle twinBehaviour, activity and sleep — modifiable determinants of long-run risk.
09
Wearable twinContinuous device signals for real-time monitoring and trend detection.
10
Environmental twinExposures, geography and context — gene–environment interaction.
11
Population twinCohort context for comparative and public-health inference.
Why it holds up

Built for software that lives next to patient care.

Every assertion carries its evidence

No ungrounded output. Each call links to the criteria and citations behind it — auditable years later, not just today.

AI augments the expert; it never replaces them

A criteria engine classifies, a language model synthesises over cited evidence, and a named clinical reviewer signs every result.

Built on FHIR and GA4GH, not around them

Interoperability is the strategy. Reports drop into existing LIMS and EHR workflows without a translation layer.

Sovereign by design

Cloud-agnostic Kubernetes and federated compute let health systems and governments keep data inside their own borders.

National alignment

Built for India’s digital health stack.

ABDM for identity and exchange, SAHI for governance, BODH for independent benchmarking — Project LIFE was designed against all three.

ABDM

ABHA identity, registries and consent-based exchange. We align to the national rails rather than build a parallel identity model.

SAHI

All seven governing sutras map to platform properties — human authority, accountability and understandability are architectural, not aspirational.

BODH

Federated benchmarking under ABDM. Models move to data and only weights return — which is how our architecture already works.

Get started

Prove it on your own cases.

Anchor sites are partners, not customers. Commit a defined case volume and named reviewers; get early capability and a real say in the roadmap.