AI-Native Health Data
Infrastructure
101 Venture Studio builds the standardized data layer fragmented
healthcare systems lack.
Our platform structures clinical and financial data into interoperable,
analytics-ready foundations that power registries, real-world evidence,
and applied AI.
Subscription-based. Multi-institution. Regionally scalable.
Core Infrastructure
Registry Systems
Cloud-based, standards-aligned registry infrastructure designed for
structured capture and multi-site deployment.
Configurable Schemas
Role-based access and audit trails
Built-in benchmarking
Structured exports for research and analytics
Deploy rapidly. Scale across networks.
Encodeasy — Data Standardization Engine
AI-assisted mapping and normalization that converts fragmented datasets into
interoperable systems.
Clinical–financial data integration
Accelerated legacy migration
Structured dataset generation
Cross-institution interoperability
Data structured at the foundation, not retrofitted later.
Embedded AI & Federated
Architecture
AI is integrated at the infrastructure layer to support:
Schema alignment and normalization
Data validation and completeness
Cohort identification
Analytics acceleration
The platform supports federated and privacy-preserving data
collaboration, enabling multi-site insight without unnecessary data
centralization.
Designed with governed, auditable workflows.