Built for the mission · Governed for trust

Health data, finally whole.

Aquila replaces the patchwork with a unified integration layer so every organization in the ecosystem can act on complete, accurate, governed information.

The platform

One governed highway for health data

A purpose-built pipeline for healthcare formats, high-throughput processing, and end-to-end governance. Aquila connects heterogeneous sources, establishes canonical and semantic structure, resolves identity, qualifies trust, and delivers governed data products.

Identity as Infrastructure

Matching, crosswalks, survivorship, reversibility, and clerical review run as a governed service rather than a one-time MPI exercise.

Governance as Runtime

Consent, purpose-of-use, segmentation, policy decisions, lineage, and audit evidence execute inside the operating path, not after delivery.

Capabilities

Built for the complexity of health data

Each layer is selected for a bounded responsibility and must preserve evidence across every boundary.

Connect

Register sources and receive HL7, FHIR, X12 claims, C-CDA, social determinants, and public health feeds through durable transport with validation and replay.

Canonical & Semantic Structure

FHIR as the governed exchange spine, terminology as a service, and OMOP as an analytical projection.

Identity Resolution

Deterministic, probabilistic, and privacy-preserving matching with confidence scores, supporting provenance, and reviewable clerical workflows.

Trust & Data Quality

TREUE-style scoring retains dimension-level evidence so users and AI can distinguish available data from supportable truth.

Executable Governance

Machine-evaluable policy decisions and immutable evidence applied at every access and workflow boundary.

Governed Delivery

Purpose-specific outputs for digital quality, population analytics, operations, public health, and downstream applications.
Provenance & Lineage Report
Nebraska Synthetic Clinical Dataset
Issued by Aquila Health PBC · Generated 2026-07-29
Synthetic data attestation

Wholly synthetic. Contains no real PHI or PII, and no record maps to or was seeded by any real individual, an assurance stronger than de-identification under 45 CFR §160.103.

Records6,406,418
Patients15,000
Tables19
Seed20240701
Generation lineage
1 Schema2 Reference & vocabulary3 Population & identity4 Longitudinal activity5 Documents6 Export & serialization7 Validation
Integrity & compliance assurances
CheckMethodResult
Referential integrityForeign keys parent → childVerified
Temporal consistencyChild events bounded to DOB and encounterVerified
Uniqueness invariantsEvaluated against live databaseVerified
ReproducibilityDeterministic seeded PRNGVerified
Excerpt. Every dataset and model ships with a full provenance, lineage, and attestation record.

Responsible AI

Intelligence you can explain. Not a black box.

Agents operate above the same identity, policy, evidence, orchestration, and review controls as every other service. Confidence indicators, provenance, and human-review records are retained for consequential transformations.

Shared Truth

Identity, provenance, confidence, and lineage remain attached to each usable assertion, so every record can be traced back to its source.

Governed by Design

Consent, purpose-of-use, segmentation, and audit evidence are enforced inside the operating path, not bolted on after delivery.

AI-Ready Data

Conformance, terminology, quality evidence, and policy controls are established before any model or agent consumes the data.

Agentic Operations

Agents work through bounded workflows with explicit evidence, versioned controls, and human review on consequential decisions.

Meet Our Team

The Brains Behind Aquila Health

Aquila Health is led by operators who have built and run health data infrastructure at scale, across state agencies, health systems, payers, and national technology platforms.
Dr. Jaime Bland
Dr. Jaime Bland, DNP, MSN, RN
Co-founder & Chief Executive Officer
National voice in health data with the clinical roots to back it.

Twenty-plus years building and operating health data infrastructure. As CEO of CyncHealth, Jaime grew a $4M regional data network into a roughly $40M multi-state health data utility serving Nebraska, Iowa, and six border states.

Clinical informaticsPublic healthInteroperabilityFederal policy
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Connect every source. Keep the context.

Clinical feeds, claims and administrative data, social and community sources, files and APIs all arrive on one on-ramp. Source, authority and provenance are bound at admission, before any transformation, so what comes back to you is structured, resolved and qualified.