We’re not here to digitize healthcare. We’re here to help it think.
Orchestral connects health data and governs health AI. Two platforms. Many AI solutions. One foundation. Built for health from the ground up.
Orchestral Health AI Orchestrator
Every patient deserves a health system that knows their full story and can act on it safely.
Specialized platforms. Powerful alone. Built to work together.
AI Platform
Manages the full AI lifecycle for regulated health systems. Register, validate, deploy, monitor, and explain every model through one governance framework.
Start with rules. Add AI when you’re ready.
Data Platform
The single, authoritative health data foundation. Connects your existing sources, resolves clinical codes, and links your patients into one trusted model your entire organization runs on.
Built for health data. From the ground up.
Enterprise Master Patient Index (EMPI)
Orchestral’s Indexity is a cloud-native Enterprise Master Patient Index built for healthcare.
Built for healthcare data identity.
Purpose-built for health. Proven at scale.
Built for health. Not adapted for it.
Orchestral was built by a team with deep expertise in health data integration, proven across health organizations globally. That heritage runs through every component. Designed for health. Not retrofitted for it.
Proven at national scale. Not in pilots.
The NZ Government Algorithm Hub. SYNCRONYS. Ontario Health 811. NHS Essex. Four countries. In production, under the governance requirements of publicly funded health systems.
Start where you are. Build to where you need to be.
Begin with rules-based automation. Activate AI as your team’s confidence grows. Not ready for AI yet? Start with the Data Platform. Add the AI Platform when you are.
Governed end to end.
One governance framework. Every data asset. Every AI asset. Full lineage. Every record traceable. Every decision explainable.
See some or all platforms working in an environment like yours.
Book a 30-minute working session. We will show you how the we solve challenges like yours, and what that looks like on data and use cases similar to your environment.