McCrae Tech says Orchestral will bring order to fragmented health AI systems
McCrae Tech has unveiled what it calls the world’s first health-native AI orchestrator platform, a system designed to coordinate data, artificial intelligence models, and automated workflows across complex healthcare environments.
The platform, named Orchestral, aims to solve a growing problem facing hospitals and health systems: the rapid proliferation of disconnected AI tools that are difficult to govern, scale, or trust in clinical settings.
“Most information technology in healthcare falls into two camps,” said Ian McCrae, founder of McCrae Tech. “Either you have a big, dumb bucket of cloud data, or isolated pockets of AI cleverness. Orchestral is something fundamentally different.”
From AI pilots to system-wide deployment
Healthcare organizations worldwide are experimenting with AI to improve diagnostics, reduce costs, and address workforce shortages. But many efforts remain stuck in pilot phases, with limited integration into clinical workflows.
Orchestral positions itself as an AI coordination layer, enabling health systems to deploy multiple AI models safely and consistently, rather than relying on fragmented point solutions.
The platform integrates three core components:
- Health Information Platform (HIP): Ingests data from any source and delivers standardized, compliant, and trusted health data.
- Health Agent Library (HAL): A governed registry of AI agents and algorithms approved for use across the health system.
- Health AI Tooling (HAT): Tools for analysts and data scientists to build agent-based workflows, analytics, and decision-support systems.
Together, the components are designed to ensure that AI outputs are explainable, auditable, and usable by clinicians rather than overwhelming them with raw data.
Addressing diagnostic errors and system strain
Lucy Porter, CEO of Orchestral, said the platform was developed in response to mounting pressures on global health systems, including rising costs, clinician burnout, and patient safety risks.
According to OECD estimates, up to 15% of diagnoses worldwide are inaccurate, delayed, or incorrect, creating a financial burden equivalent to 17.5% of total healthcare spending in OECD countries.
“Everyone is turning to AI to solve these issues,” Porter said. “But what we see today is unworkable AI chaos, isolated pilots with no clear path to safe, large-scale deployment.”
Without a dedicated AI orchestration layer, Porter argued, scaling AI responsibly across healthcare systems remains “virtually impossible.”
Built on decades of clinical data infrastructure
Orchestral is built on engineering foundations developed over decades in clinical data storage and interoperability, originally within Orion Health, before being spun out into McCrae Tech as a standalone initiative.
McCrae Tech says the scale and complexity of the project required a dedicated company, reflecting what it describes as the emergence of a new category in health technology: AI orchestration designed specifically for clinical and regulatory environments.
A foundational layer for agentic healthcare AI
Unlike single-purpose AI tools, Orchestral is designed to act as a system-wide “source of truth” for health data, AI models, and decision workflows, supporting what the company describes as the next phase of agentic AI in healthcare.
“We’re building the foundation that lets entire health ecosystems learn, adapt, and operate safely in the age of autonomous AI,” Porter said. “The goal is to turn scattered health data into insight that is trusted, explainable, and available when it matters most.”
