OUR PLATFORM

The Agentic Health Twin™

A reasoning system that simulates human physiology. Trained on hundreds of millions of lives. Federated by design: data never moves, only intelligence.
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PLATFORM FEATURES
The Architecture of Predictive Health
Built on the largest validated health AI infrastructure in the world.
EHR data
Lab data
Imaging data
Wearable data
Omics data
Additonal data
Multimodal Foundation
Integrates EHR, labs, imaging, wearables, and omics into one continuous system. Every data type strengthens the model.
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Federated by Design
Data never leaves its source. Models train locally within hospitals and national infrastructures. Only encrypted updates move.
○╌╌ no action → 34%
●── with statin → 11%
○╌╌ no screening → 2.4%
●── colonoscopy at 45 → 0.3%
Causal Reasoning
Reinforcement learning enables longitudinal forecasting, moving from correlation to true biological understanding.
How IT WORKS
From raw data to intelligence
Our Platform transforms clinical data into computable knowledge, without exposing patient information. We call this process Foundry.
Before FOUNDRY
patient_records_2024.csv
"John Smith, DOB 03/15/1962"
Discharge summary.pdf
"BP 142/91, refer to cardio"
MRN: 4481029
Fax from radiology
"SSN: XXX-XX-4829"
HL7v2 message failed
Lab results.pdf
PHI exposure risk
Incompatible formats
Data locked in silos
after FOUNDRY
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ICD-10: I10
SNOMED: 38341003
Δ weight: 0.003
De-identified. Standardized. Ready to learn.
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| Step 1
Ingest
Structured (CCD, FHIR) and unstructured (clinical notes, imaging, pathology) enter the Foundry at source.
→ Step 2
De-identify
Safe Harbor method removes all 18 HIPAA identifiers. K-grouping protects rare conditions. Original data discarded.
→ Step 3
Enhance
Medical terminology standardized to ICD-10, SNOMED-CT, LOINC, RxNorm. Tokenized for model training.
→ Step 4
Learn
Private federated learning trains locally. Only encrypted gradients leave. Global model improves.
DATA
Standard
Support
FHIR R4
Native
HL7 v2 / v3
Native
CCD / C-CDA
Native
DICOM
Supported
OMOP CDM
Supported
What makes us better than traditional health AI?
Traditional health AI
Data movement
None
Centralized
Re-identification risk
None
Possible
Cross-border compliance
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Sovereignty guarantee
Cryptographic
Jurisdiction risk
Access to locked datasets
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Continuous learning
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Breach exposure
Distributed
Policy-based
Model improvement
Continuous
Static
Let's discuss your unique needs
We’re here to provide support and guidance.
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SECURITY
Proven private
Zero Trust architecture. Cryptographic guarantees. Data inaccessible by design. Even to us.
Confidential Compute
Intel TDX and AMD SEV-SNP encrypt data in use. Even cloud providers and system administrators cannot access memory contents.
Zero Trust
No user, device, or application is inherently trusted. Every element proves integrity before interaction. Trust established cryptographically, not implicitly.
Compliance
HIPAA, GDPR, Saudi PDPL compliant. Our architecture exceeds requirements. Compliance is a technical guarantee, not a policy promise.
ARCHITECTURE
Five agents.
One intelligence.
Specialized systems that simulate, explain, and act. Unified through the Agentic Health Twin™.
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Bio-Twin Core
Simulates biological systems in real time. A living model of individual physiology.
Orchestration Agent
Connects multimodal data streams into coherent biological narratives.
Recommendation Agent
Translates predictions into personalized, actionable guidance.
Guardrail Agent
Ensures safety, privacy, and regulatory compliance in every output.
Research Agent
Discovers new biological patterns. Generates hypotheses through continuous learning.
Each agent specializes. Together, they form intelligence that grows smarter with every interaction.
The team behind Nuraxi worked on the largest health AI deployment in history
50+ million patients
17+ years of longitudinal data from the US with 250m being onboarded
20+
Over 20 disease classes with consistent accuracy across cardiovascular, metabolic, oncological, and neurological conditions.
3.5x fewer errors than GPT
VALIDATION
Population coverage
50M+ patients
Longitudinal depth
17+ years
Disease validation
Cardiovascular, metabolic, oncological, neurological
Continuous benchmarking
Model accuracy tracked against real-world outcomes quarterly
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.
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Timeline: 6-12 weeks
For:
  • Governments
  • National Health Systems
  • International Programs
Enterprise API
Cloud-hosted intelligence accessible via secure API. Integrate predictive capabilities into existing workflows.
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Timeline: Days
For:
  • Health Systems
  • Lab Companies
  • Insurers
Discovery Network
Enhance biomarker discovery and evidence generation by querying insights from vast datasets without direct data access.
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Timeline: Custom
For:
  • Pharma
  • Biotech
  • Research Institutions
Nora Distribution
Our product, Nora, for your members. Embed continuous health intelligence into your patient or employee experience.
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Timeline: 2-4 weeks
For:
  • Payers
  • Employers
  • Clinics
Predict.
Prevent.
‍Prosper.
PLATFORM
SOLUTIONS
ABOUT NURAXI
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© Copyright 2026, Nuraxi Inc.