How Concurrence governs clinical AI at a trillion-token scale with Unity Gateway

Healthcare AI has little margin for error. AI agents helping coordinate patient care depend on reliable patient context, clear controls over data and model access, and visibility into every interaction, all while maintaining stringent compliance requirements. 

Concurrence is operating these healthcare agentic systems at a significant scale. The company builds clinical AI agents across patient- and provider-facing workflows, from AI clinicians, nurses, and care coordinators to ambient documentation, care-plan summaries, and knowledge retrieval.

Across its production AI environment, Concurrence now processes approximately 100.8 billion input tokens and 11.2 million LLM calls every 30 days, equivalent to an annualized run rate of roughly 1.2 trillion input tokens. Monthly token volume has grown about 5x from its late-2025 baseline to July 2026.

In high-stakes clinical workflows, reliable AI agents start with trustworthy, well-governed data. Supporting that reliability at scale requires strong compliance, rigorous agent testing and governed AI access. Concurrence is consolidating these capabilities on Databricks, with Lakebase for operational agent and conversation state, Unity Catalog for governing data and AI assets, and Unity Gateway for centralized AI access and security across its rapidly growing developer AI workloads.

Building reliable clinical AI on trusted data

Healthcare data often conflicts across systems. A patient may provide information that differs from an existing record, and the newest value is not always the most reliable.