Why Static Systems Fail
Legacy genomic workflows produce fixed reports that become outdated as evidence evolves, creating audit gaps, regulatory exposure, and clinical risk.
Audit Collapse
Fragmented audit trails cannot reconstruct analytic workflows or evidence basis, resulting in regulatory penalties and legal exposure.
Uncertainty Mismanagement
Static reports lack confidence intervals, reversibility logic, or uncertainty flags—propagating unwarranted confidence in clinical decisions.
Interpretation Decay
Variant misclassification rates of 4-60% within two years leave patients with outdated recommendations and no path to reclassification.
Consent Fragmentation
Static consent records become orphaned from data flows, creating compliance gaps and eroding patient trust.
Six Data Streams, One Living Profile
Our platform ingests and harmonizes diverse data modalities into a unified, continuously updated representation of patient health.
Genomic Sequencing
Whole genome, exome, and targeted panel outputs with variant calling and annotation
Multi-Omics Streams
Proteomics, metabolomics, transcriptomics, and epigenomics data integration
EHR Integration
Clinical histories, lab results, medications, and diagnostic codes
Wearable Telemetry
Real-time sensor data from remote monitoring and continuous glucose monitors
Environmental Data
Exposure tracking, lifestyle factors, and geographic health determinants
Clinical Updates
Longitudinal treatment responses, outcomes, and care transitions
Continuous Intelligence Workflow
Six integrated stages transform raw data into actionable, audit-ready clinical intelligence.
Data Ingestion
API-driven architecture ingests genomic sequencing, multi-omics streams, EHR data, wearable telemetry, and environmental exposures through unified, secure channels.
Normalization
Standardization across modalities using global ontologies and FAIR principles, with temporal alignment and versioning for complete auditability.
Enrichment
OmniSynth framework synthesizes data across modalities, resolving contradictions and creating the Dynamic Data Tensor—a living representation of patient health.
Temporal Tracking
Time-stamped event alignment builds dynamic patient timelines with immutable lineage at every update, enabling true real-time health monitoring.
Scenario Updates
Automated recalibration engine triggers updates based on new evidence, clinical events, or regulatory changes—ensuring interpretations remain current.
Intelligence Output
Living Data Tensor translates into scenario-adaptive recommendations, personalized pathways, and dynamic action cards—all fully auditable and traceable.
Static vs. Streaming Intelligence
A direct comparison of legacy genomic workflows versus our continuous orchestration approach.
The Living Data Tensor
At the heart of our platform is the Dynamic Data Tensor—a multi-dimensional, continuously updated representation of patient health that integrates genomic, clinical, environmental, and behavioral data streams.
Unlike static reports that decay with time, the Living Data Tensor evolves with each new evidence input, automatically triggering reinterpretation workflows and updating clinical recommendations in real-time.
Dynamic Data Tensor: Six modalities, one living profile