Outcome proof
Protocols are multi-factor and sequential. You need to know which components worked, for which patients, and in what order — not just whether outcomes improved on average.
The causal intelligence layer for individual health.
Research affiliations
MITStanford RTTP
THE PROBLEM
Health data is abundant. Causal understanding is not.
Clinics, digital health programs, and research teams collect more patient data than ever — longitudinal labs, wearables, genomics, proteomics. But the question that matters most remains unanswered: why is this patient's health trajectory what it is, and what would actually change it?
Intervention selection
Which interventions actually moved the needle for this patient? Health organizations need causal inference grounded in individual biology, not population averages that may not apply.
Scaling expertise
The best clinicians build a causal mental model of each patient over time. Vyona makes that reasoning process explicit, scalable, and continuously updated as new data arrives.
THE PLATFORM
Causal AI infrastructure for longitudinal health data.
A continuously updating causal model of each patient's biology. Customer-specific, not pooled. Your data stays under your governance.
Causal modeling engine
Patient-level models capturing baseline, trajectory, and variance across clinically relevant intervals.
Model governance
Versioned models with validation checkpoints, drift review, and controlled update cycles.
Outcome reporting
Structured reporting across cohorts, programs, and time horizons with traceable assumptions.
TEAM
The team behind Vyona
Backgrounds in health data, clinical trials, and biomedical AI.
Julie Vaughn
Co-Founder & CEO
MIT data science. Previously worked on life-extension clinical trials at Loyal. Best Applied Paper at ML4H 2025. Emergent Ventures grantee. Co-director, Longevity Global NYC.
MITLoyalML4HEmergent Ventures
Jipeng (Matt) Di
Co-Founder & AI Engineer
AI systems engineer specializing in agentic biomedical AI. Previously managed operations for a diabetes patient-management platform across 1,500 hospitals at OMRON Healthcare. Best Applied Paper at ML4H 2025.
ML4HOMRON Healthcare
Build your causal intelligence layer.
Share your program and data landscape. Receive a custom implementation scope from design partners, not vendors.