Healthcare AI Development That Clears Compliance First

Records live across an EHR, a scheduling tool, a billing system, and a shared drive, so no single view of a patient exists.

We build the integration layer first: normalised schemas, reconciled identifiers, and one queryable source the AI can actually reason over.

Clinicians spend hours a week on notes, prior authorisations, and coding, time that never reaches a patient.

We deploy ambient capture and structured summarisation that drafts the note, leaves the clinician the final word, and writes back to the record.

Core systems predate modern APIs, and vendors price integration as a project rather than a feature.

We work with what exists: HL7 and FHIR adapters, read-only mirrors, and event queues that add AI without a rip-and-replace.

Every new AI surface adds a path PHI could travel down, and most pilots are built before those paths are documented.

We design privacy-first: encryption, role-based access, least-privilege permissions, separated environments, and strict routing rules whenever a third-party model is involved.

HIPAA, state privacy law, and payer rules all move faster than an annual review cycle.

We ship with the audit trail built in, logged prompts, retained decisions, and documented data flows your compliance team can sign off on.

Free-text fields, duplicate records, and missing codes quietly poison model output long before anyone notices.

We profile the data first, then put validation, deduplication, and monitoring in the pipeline so quality is measured rather than assumed.

Hiring a full ML team for one initiative is slow, expensive, and hard to justify before the initiative has proven itself.

Our specialists work alongside your team and hand over documented systems, so capability stays in-house when the engagement ends.

Clinical staff have been promised time savings before, and a tool that adds clicks gets abandoned in a fortnight.

We design around existing workflow, pilot with the people who will use it daily, and measure adoption as closely as accuracy.