myHealth is a personal health data and inference platform that ingests heterogeneous health-related data sources and enables retrieval-augmented multimodal reasoning through a thin application interface
Healthcare platforms struggle to balance real-time intelligence with privacy and compliance. Data often remains siloed, insecure, or difficult to integrate across devices and providers. Patients want actionable insights, while organizations need strict HIPAA/GDPR compliance and auditability.
myHealth delivers:
- Seamless multi-source data ingestion
- Secure cloud architecture (AWS VPC-constrained, zero public internet, HIPAA-eligible services).
- AI reasoning chatbot with pseudonymized health records, providing Q&A, triage, and lifestyle recommendations.
- Observability & governance through auditable system telemetry, operational visibility, and compliance-oriented controls.
- Dual-domain architecture that keeps clinical workflows restrained and privacy-first while allowing more autonomous preclinical molecular and genomic computation in isolated worker boundaries.
- Harness evaluation target mode while the agentic control-plane and AgentOps token-economics foundations mature.
- Privacy by design: PHI never embedded directly; redaction and pseudonymization before storage.
- Hybrid data flows: Wearables → Cloud Storage → Cloud DWH → Secure LLM inference.
- Scalability path: product implementation is deferred until the enabling harness and observability layers are ready.
- Patients: Daily health insights, triage support,
- Clinics & providers: Secure health data integration, risk scoring (cardiometabolic index), multimodal analysis.
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