Orchestral AI Orchestrator & Data Platform

AIInteroperabilityData PlatformHealth Data Model

Healthcare doesn’t need more data lakes — it needs orchestration.

Orchestral is the first platform that unites data infrastructure (HIP), model governance (HAL), and AI tooling (HAT) into one governed ecosystem purpose-built for healthcare.

Unlike Snowflake, which optimizes for analytics, or Palantir, which focuses on national-scale data fusion, Orchestral delivers the governed intelligence layer healthcare systems need to operationalize AI safely and at scale.

A platform in three movements

Orchestral is composed of two tightly integrated platforms and an AI registry— each essential to safe, scalable AI in healthcare.

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Health Information Platform (HIP)

The foundation of trusted health data.

HIP ingests data from any source — clinical, administrative, social, or device-based — and transforms it into a standardized, FHIR-compliant, and privacy-governed foundation.

By harmonizing data into the Orchestral Health Data Model, HIP ensures that every AI model, workflow, or report operates from the same single unified source of truth.

Key capabilities:

  • Data ingestion from any source (EHRs, claims, registries, devices).

  • Real-time validation, standardization, and contextualization.

  • Standards compliance (FHIR, HL7, HIPAA, ONC).

  • Governance and lineage tracking.

  • Instant readiness for AI training and deployment.

HIP turns raw data into actionable intelligence, eliminating one of the biggest barriers to AI deployment: clean, contextualized, and compliant data.

Health AI Library (HAL)

The governed registry of health AI.

HAL is a trusted catalogue of AI agents, models, and algorithms — the world’s first national-grade AI model registry for health.

Built for transparency and accountability, HAL allows organizations to manage, audit, and deploy algorithms with confidence.

Key capabilities:

  • Centralized AI component with metadata, versioning, and audit trails.

  • Governance workflows for algorithm approval and monitoring.

  • Explainability and performance dashboards.

  • Model deployment via REST APIs and self-service tools.

  • Proven use in the New Zealand Algorithm Hub, a national health AI library running on Orchestral.

HAL ensures that every AI model is governed and ready for safe deployment across the health ecosystem.

Health AI Tooling (HAT)

The workspace for building and operationalizing intelligence.

HAT empowers data scientists, analysts, clinicians, and engineers to design, test, and deploy agentic AI workflows.

From predictive models to population dashboards, HAT brings together everything needed to move from proof-of-concept to population-scale impact.

Key capabilities:

  • Drag-and-drop orchestration of AI workflows.

  • Integration with HAL, and HIP data streams.

  • Built-in tools for BI, analytics, and natural-language querying.

  • Agentic capabilities for care-gap closure, fraud detection, and operational optimization use cases.

  • Support for safe experimentation and collaboration.

HAT turns safe experimentation into operational intelligence — accelerating innovation, and impact across every level of healthcare delivery.