Scalable · Affordable · Joint · Architecture
SaJa is a multi-modality, standards-based architecture that takes population-scale clinical and genetic screening from sample intake to a decision support report.
Health data lives in silos.
Genetics in one lab, imaging in another, blood work somewhere else, wearables on your wrist. No single platform fuses every modality into actionable screening at population scale.
The result: late diagnoses, missed risks, and a price per test that puts screening out of reach — preventable conditions caught years too late because the data never connects.
Locked in the sequencing lab
Trapped in radiology systems
Scattered across chemistry panels
Streaming to your wrist alone
One pipeline that runs the same from a single clinic to a national programme. Horizontal compute, containerised stages, and versioned reference models keep throughput linear as every modality scales.
Cost is a design constraint, not an afterthought. Commodity assays, shared reference infrastructure, and open tooling drive the per-screening price toward the marginal cost of the test.
A common architecture that labs, health systems, and researchers extend together. Shared schemas and open interfaces mean evidence curated once — across any modality — is trusted everywhere.
Four modalities, one profile
WGS, WES, lpWGS, methylation, and liquid biopsy fused into a single genomic profile.
MRI, CT, and X-ray analysis with computer vision for radiology and pathology.
Clinical chemistry, proteomics, metabolomics, and organ-age panels.
Continuous HR, HRV, sleep, activity, and SpO2 for real-time physiological trends.
Cloud-native · HIPAA / GDPR-aligned · 100 to 1 M screenings per year
One platform · Eight products
Elite Performance Screening
Genomics, wearables, blood, and imaging for athletes.
Cancer Screening
Liquid biopsy, imaging AI, and genetic risk panels.
Neurodevelopmental Screening
Genetic panels and developmental biomarkers.
Rare Disease Diagnostics
WES / WGS, clinical phenotyping, and imaging.
Biological Age Assessment
Epigenetic clocks, blood biomarkers, and wearables.
Toxicogenomics
Pharmacogenomics and environmental risk profiling.
Digital Twin Platform
Longitudinal, multi-modal health integration.
Low-Pass WGS Backbone
Population-scale screening at $50–$150 per sample.
| Modalities fused | 4+ | Genomics, imaging, blood, wearables |
|---|---|---|
| Throughput | 1 M+ | Screenings per year, per node |
| Per-screening cost | Marginal | Approaches assay cost at scale |
| Interfaces | Open | Versioned interchange schemas |
National screening programmes from 100 to a million people per year.
Cancer, cardiometabolic, and rare-disease risk surfaced years earlier.
A digital twin that tracks every modality across a lifetime.
Fused risk scores routed into clinician-ready decision support.
Access the architecture
SaJa is open by design. Request the reference implementation, integration schemas, and deployment guidance for your lab or health system.
