National-scale predictive infrastructure deployed within your borders. Train locally. Never export patient data. Build population health intelligence with complete data sovereignty.
FOR Governments, National Health Systems, AND Programs
Full platform on sovereign infrastructure, on-premise or national cloud
Data residency guaranteed cryptographically, not just by policy
Population-wide risk stratification across 20+ disease classes
Integrates with national health registries and existing EHR systems
Dedicated implementation team from scoping to go-live
Enterprise API
Cloud-hosted intelligence accessible via secure API. Integrate predictive capabilities into existing clinical and operational workflows, without infrastructure changes.
FOR HEALTH SYSTEMS, Lab Companies, AND INSURERS
RESTful API with native FHIR R4 and HL7 v2/v3 support
Real-time risk scores and longitudinal forecasting at point of care
Population health dashboards, cohort queries, and alerts
Validated integrations with Epic, Cerner, MEDITECH, Allscripts
Usage-based pricing scales with your population
Discovery Network
Accelerate biomarker discovery and real-world evidence generation. Query federated insights across hundreds of millions of lives, without accessing raw data.
FOR PHARMA, Biotech, AND Research Institutions
Identify novel biomarkers and hidden patient subgroups
Validate hypotheses across diverse global populations
Privacy-preserving cohort queries at unprecedented scale
Real-world evidence for regulatory submissions and label expansion
Our product, Nora, for your members. Embed continuous health intelligence into your patient or employee experience, powered by the Agentic Health Twin™.
FOR CLINICS, PAYERS, AND EMPLOYERS
Nora into member apps, portals, or standalone
Personalized health trajectories from wearables, labs, and clinical data
Early intervention alerts reduce downstream costs
Every user strengthens the global model
Available in US mid-2026.
DEPLOYMENT
Four paths to production
Choose the model that fits your infrastructure, timeline, and requirements.
Sovereign Systems
Full infrastructure deployed within your borders. On-premise or national cloud. Complete data sovereignty.
6–12 weeks from contract to go-live. This includes infrastructure provisioning, data pipeline configuration, model calibration, and clinical validation.
What infrastructure is required for sovereign deployment?
We deploy on your national cloud or on-premise data centers. Minimum requirements: compute with Intel TDX or AMD SEV-SNP support, standard networking, and access to your health data sources. We handle the rest.
Can we start with a pilot before full deployment?
Yes. Most clients begin with a scoped pilot—typically a single region, facility, or disease class—before expanding to full population coverage.
How long does Enterprise API integration take?
Days, not months. Once data access is configured, you can be live with risk scores and predictions in under a week.
What's included in the implementation?
Dedicated solution architect, technical integration support, clinical validation protocols, training for your teams, and ongoing model monitoring. Sovereign clients get a named implementation lead.
Do you support multi-country deployments?
Yes. Each country gets its own sovereign instance. Models train locally within each jurisdiction, and only encrypted updates contribute to the global model. Data never crosses borders.
What happens after go-live?
Continuous monitoring, quarterly model updates, and dedicated support. Sovereign clients receive regular performance reviews and calibration against local outcomes.
What data standards do you support?
FHIR R4 and HL7 v2/v3 natively. Also CCD/C-CDA, DICOM for imaging, and OMOP CDM for research use cases.
Which EHR systems have you validated?
Epic, Cerner, MEDITECH, and Allscripts. Our API-first approach means we sit alongside your existing systems—no rip-and-replace.
Does integration require data migration?
No. The Foundry ingests data at source. Structured and unstructured records stay where they are. We transform and learn locally.
Can you ingest unstructured clinical data?
Yes. Discharge summaries, clinical notes, pathology reports, radiology reports—our Foundry extracts and standardizes medical terminology from free text.
How do you handle data from multiple sources?
The platform tokenizes patients across systems, enabling longitudinal records even when a patient has received care at multiple institutions. All de-identified and privacy-preserving.
What does the API return?
Risk scores, disease probabilities, predicted trajectories, cohort flags, and explainability outputs. JSON responses, real-time or batch. Full documentation available.
Do you support real-time inference?
Yes. Enterprise API supports synchronous requests for point-of-care decision support. Median latency under 200ms.
Can we customize which disease classes are active?
Yes. You can enable or disable specific prediction modules based on your clinical priorities and regulatory approvals.
Does patient data ever leave our infrastructure?
Never. Models train locally. Only encrypted model gradients are shared. Raw data stays at source—this is architecturally enforced, not a policy promise.
How do you de-identify data?
Safe Harbor method removes all 18 HIPAA identifiers. For rare conditions, we apply k-grouping to prevent re-identification. Original data is discarded after tokenization.
What is Zero Trust architecture?
No user, device, or application is inherently trusted. Every component must cryptographically prove its integrity before interacting with others. Trust is verified continuously, not assumed.
What is confidential computing?
Intel TDX and AMD SEV-SNP encrypt data while it's being processed—not just at rest or in transit. Even cloud providers and system administrators cannot access memory contents.
Can Nuraxi employees access our data?
No. Our architecture makes data provably inaccessible—even to Nuraxi administrators, even under court order. This is a technical guarantee, not a policy.
What compliance certifications do you hold?
HIPAA, GDPR, and Saudi PDPL compliant. Our architecture exceeds regulatory requirements. Compliance is built into the system, not bolted on.
How do you handle cross-border data regulations?
Each sovereign deployment keeps data within national boundaries. Federated learning means intelligence improves globally while data sovereignty is absolute. No data crosses jurisdictions.
What happens if there's a breach at one node?
Distributed architecture limits exposure. A breach at one institution cannot compromise data at others. Tokenization means stolen data has no value—tokens cannot be reversed to original records.
How do you protect rare disease patients?
K-grouping ensures individuals with rare conditions cannot be identified through unique attribute combinations. We exceed HIPAA Safe Harbor requirements for these edge cases.
Can patients request deletion of their data?
Yes. GDPR and similar regulations are fully supported. Deletion requests propagate through the system, and affected model contributions are removed in the next training cycle.
