Data Collaboration Platform
Connect, protect, and activate health data at industry scale – powering trusted AI workflows across healthcare.
The healthcare data foundation built for AI at scale
Healthcare AI is only as strong as the data behind it. Datavant does the hard work behind healthcare AI: building trusted, connected, data that powers AI and insights that help predict problems, personalize care, and improve outcomes – ultimately making healthcare more effective and patient-centered.
One platform across the health data lifecycle
Five interactive towers represent Acquisition, Assembly, Protection, Liquidity, and Activation. The stages advance automatically and pause while you hover, focus, or tap a tower to explore it.
Acquisition
Locate, Intake, Bi-Directional Connectivity, Transformation
Assembly
Warehousing, Refinement, Orchestration, Availability
Protection
Consent, Privacy Controls, Authorization, De-Identification
Liquidity
Tokenize, Process, Abstraction, Availability
Activation
Agent-Ready Architecture, MCP-Driven Solutions, Intelligence
Turning trusted health data into AI-enabled outcomes
Datavant turns fragmented health data into governed, AI-ready infrastructure – then applies that foundation to the workflows where healthcare organizations need speed, context, accuracy, and trust to better serve patients.
AI-Ready Data Foundation
Connected, protected, high-quality health data prepared for AI use – with privacy, security, healthcare context, and governance built in from the start.
AI-Enhanced Operations
Applying AI to high-volume healthcare workflows such as retrieval, coding, abstraction, authorization, record review, and fulfillment to improve speed, accuracy, and efficiency.
AI-Powered Customer Workflows
Using Datavant’s data foundation and domain expertise to support decision-ready workflows across providers, payers, life sciences, and legal & insurance – helping healthcare organizations better serve patients.
What the platform makes possible
Provider
Digitize health data exchange, improve clinical data quality, and automate administrative and revenue-cycle workflows – reducing burden while improving accuracy and operational leverage.
Payer
Locate high-value clinical records, automate coding and analytics, and turn fragmented member data into validated insights – improving turnaround time, completeness, quality, and efficiency.
Life Sciences
Discover and connect real-world data, apply privacy-preserving and AI-enabled workflows, and accelerate evidence generation across the development lifecycle.
Legal & Insurance
Retrieve medical records at scale, then use AI-driven normalization, tagging, deduplication, structuring, and summarization to move from raw records to decision-ready insights faster.
