Vydiant connects the entire body of health research with every layer of a person’s unique biology, lifestyle, environment, and treatment, delivering clear, personalized guidance that tells providers and platforms not just what a patient needs, but which intervention will actually work for them.
Every patient is different.
Most of the systems meant to help them aren’t built to know that.
Vydiant’s Digital Vaccine™ platform is the intelligence layer that changes that. For individual patients. For the platforms serving them. For the entire health ecosystem.
The typical health-conscious person takes 5-7 supplements, tracks a dozen metrics, and spends $200+ monthly, all without knowing what’s working for their specific biology.
The scale of the problem isn’t the surprise. The surprise is how much of it is addressable if the guidance is precise enough.
Annual U.S. healthcare spend, growing 8.5% each year
Of healthcare spend goes to preventable chronic disease
Of U.S. adults struggling with at least one chronic condition
Annual cost of chronic disease drugs. One in three patients on three or more prescriptions
What employers spend per employee on healthcare annually
Annual cost of poor worker health for employers
We’ve seen it across every condition.
Same diagnosis. Same protocol. Completely different result.
The intervention that moves one patient’s markers does almost nothing for the next patient with the same diagnosis. Because their genetics are different. Their stress response is different. Their food environment is different. Their biological response to the same intervention is different.
This plays out across cardiovascular disease, inflammatory conditions, metabolic dysfunction, cognitive decline, autoimmune disease, and oncology risk. Generic guidance applied to a specific person produces generic results.
Vydiant doesn’t help physicians identify the condition.
It tells them which intervention will actually work for this one.
Pathway-level risk mapping across metabolic function, cardiovascular resilience, inflammation, cognitive longevity, and cellular aging, specific to each patient’s biology, not their diagnostic category.
Evidence-ranked intervention guidance calibrated to each patient’s genetics, environment, cultural context, and real-world access. Not the average intervention; the one most likely to work for them.
FHIR-compatible, EHR-integrated APIs, no new infrastructure. Clinical intelligence that fits inside the encounters providers are already having.
This is a precision story. It plays out the same way across every condition you treat.
Standard protocol: Statin consideration and dietary modification. PathWise maps her primary driver as inflammatory, a genetic profile that responds strongly to omega-3 and sleep optimization before dietary change.
PathWise ranks sleep optimization first. Dietary change second. Different protocol from standard of care for this specific biology.
Same presentation, completely different pathway. Patient B’s primary driver is metabolic: gene variants that interact with saturated fat intake. Dietary intervention is the correct first priority.
PathWise ranks dietary modification first. Different protocol from Patient A. Different outcome trajectory.
PathWise maps a genetic inflammatory profile amplified by environmental exposures. Air quality is a measurable driver. Gut health markers indicate microbiome disruption as an upstream cause.
PathWise prioritizes gut restoration and environmental mitigation before anti-inflammatory dietary changes.
Same markers, different biology. Patient B’s inflammatory pattern is driven primarily by cortisol dysregulation and sleep architecture disruption, not environmental or gut factors.
PathWise ranks sleep and stress modulation first. Gut and dietary interventions are secondary for this patient.
Standard screening unremarkable. PathWise maps elevated inflammatory burden as the primary cognitive risk driver and connects cardiovascular reserve to neurological resilience.
PathWise ranks cardiovascular optimization and anti-inflammatory intervention as highest-impact for her cognitive protection.
Same family history. Patient B’s primary risk driver is metabolic: insulin resistance creating neuroinflammatory pressure. Sleep architecture is the highest-leverage intervention point.
PathWise ranks metabolic stabilization and sleep quality first. Different biology, different protocol, different outcome.
PathWise identifies cortisol dysregulation as the primary driver of metabolic instability. Her food environment supports change. But stress modulation moves her markers first given her specific pathway profile.
PathWise ranks stress modulation and sleep first. The standard recommendation is correct but not optimal for this patient.
Patient B’s primary driver is inflammatory. His food environment has limited fresh food access. His cultural food traditions can be modified but not eliminated. Standard protocols unlikely to produce adherence.
PathWise ranks anti-inflammatory modifications within his actual food environment. Ancestry-informed. Equity-aware. Actionable.
One intelligence engine. Turning every layer of health into direction.
Most tools give you data from one layer at a time. But health outcomes aren’t determined by any single factor. Vydiant integrates everything that drives health, mapping how they work together specific to each person’s biology.
That relationship is what produces a direction, not just a dashboard.
Genetics, Ancestry, and Polygenic Risk Scores
Lab Results, Clinical Data, and Diagnostic Inputs
Wearables, Glucose Monitoring, Sleep, Heart Rate, and Stress
Nutrition, Medications, Supplements, and Activity Patterns
Air Quality, Geography, Neighborhood Resources, and Built Environment
Income, Insurance, Healthcare Access, and Employment Conditions
Family Traditions, Community Norms, Cultural Practices, and Lived Experience
Drug and Supplement Interactions with Food, Lifestyle, and Existing Conditions
Microbiome Research, Drug-Nutrient Interactions, and Population Health Trends
40M+ Peer-Reviewed Studies, Updated Continuously
Intelligence you can trace and trust.
AI in healthcare has a trust problem. Black-box algorithms. Recommendations that don’t make sense. Outputs trained on web content instead of peer-reviewed science.
Vydiant’s Digital Vaccine platform was built as the answer to all of it.
Every recommendation traces back to the actual medical literature, curated, validated, and ranked by human experts before it ever reaches your patient’s care plan.
✓ You can explain every recommendation:
Directional relationships, not just correlations. Outputs are traceable to specific studies.
✓ You know how confident to be:
Recommendations carry a strength-of-evidence ranking so you know what the science supports.
✓ No algorithm makes the final call
Human subject matter experts validate outputs before it becomes clinical guidance.
✓ The science doesn’t go stale
Over 1 million new peer-reviewed papers integrated annually. Delivering current evidence, not a static snapshot.
Built for every stakeholder in the precision prevention ecosystem.
One platform. Multiple entry points. Every product strengthens the same compounding intelligence core.
Identify rising-risk patients before they generate claims. Produce pathway-level prevention documentation that satisfies payer requirements and supports your VBC contract performance.
