We are building the infrastructure where individuals own their health data, AI builds a living model of the person over time, and prevention becomes measurable — and economically rewarding.
When individuals own and benefit from their data, they contribute more of it. Better data creates better models. Better models deliver better outcomes. Better outcomes attract more participants. No incumbent can replicate this loop without dismantling their own business.
Wearables, lab tests, lifestyle inputs and clinical records — structured into a single longitudinal dataset per individual. The foundation everything else is built on.
A living, system-level model of the individual. Metabolic, cardiovascular, circadian and behavioral data — interconnected, continuously updated, genuinely personalized.
Through the SymbionIQ Foundation: permissioned data access, traceable contribution to research, and incentive mechanisms that reward participation and prevention.
Deploy with longevity clinics. Solve their data fragmentation problem. Generate real-world datasets and early revenue. Validate the model in a controlled, high-value environment.
Create longitudinal, system-level models of individuals. Deploy AI agents that detect patterns and orchestrate care pathways. This becomes a continuously learning personal health OS.
Open the platform. Third-party services, research networks, preventive care marketplaces. The Foundation enables a new economic layer — not a product, a system.
Continuous biometric data is now available at scale. The raw material for a preventive care economy exists — it has never been properly connected.
Multimodal AI can now process continuous, real-world health streams. The computational layer that makes individual modeling viable is ready.
A new class of clinics, practitioners and patients are building around prevention. The market is forming. The infrastructure does not yet exist.
Cross-domain by design. The problem we are solving lives at the intersection of biology, data architecture, decentralised governance, and hardware. So does our team.
Strategist and systems thinker with deep experience spanning enterprise technology, data sovereignty, and preventive health economics. Architect of the SymbionIQ vision.
↗ LinkedInBioengineering researcher bringing rigorous scientific methodology to biological modelling. The scientific foundation of the digital twin architecture.
↗ LinkedInDecentralised finance veteran from MakerDAO. Brings deep expertise in tokenomics, DAO governance structures, and the incentive mechanics that make community-owned systems actually work.
↗ LinkedInHardware and systems engineer from AMD. Responsible for the infrastructure layer — ensuring the platform performs at the scale and reliability a clinical-grade system demands.
↗ LinkedInEarly capital does not fund scale. It unlocks the inflection point — a working product in real clinics, live data loops, first revenue, and a functional digital twin prototype. That is the de-risking milestone for scale capital.
Commit to the Round →"The current system extracts value from people.
SymbionIQ enables people to
generate and capture value from their own biology."