A defensible AI roadmap starts before a model is trained. We audit clinical workflows, classify model risk, baseline bias, and deliver a phased 12-month plan your board, clinicians, and compliance team can all sign off on. Pilots run 8–14 weeks; enterprise programs run 6–12 months.
Healthcare AI fails at the foundation. We build AI-ready cloud landing zones with HIPAA-aligned segmentation, BAA-backed dependencies, and FHIR R4 endpoints that wire EHR, lab, imaging, and claims data into models in real time. SMART on FHIR apps and CDS Hooks included as standard.
We develop production AI software with the audit trail baked in: role-based access, model versioning, signed deployments, immutable logs, and controls that map directly to HIPAA safeguards and SOC 2. When your security team reviews it, the answers are already in the repo.
01 · Discovery & Clinical Workflow Audit
We map clinical workflows, inventory PHI, classify model risk, and baseline bias. No code is written until we know what success looks like clinically — and what audit will require.
02 · Architecture & Integration Design
We design the compliance blueprint, AI-ready cloud, FHIR R4 endpoints, and MLOps plan. Every dependency is BAA-backed; every control maps to HIPAA or SOC 2.
03 · Deploy, Monitor & Govern
We ship the model with audit logging, model versioning, drift monitoring, and incident response. Documentation your security team can hand straight to auditors.
A healthcare AI consultancy and engineering firm. We design, integrate, and ship clinical-grade AI for providers, payers, and digital health companies across the U.S., U.K., and EU. We combine clinical workflow expertise, HIPAA-aligned cloud architecture, HL7/FHIR data engineering, and production MLOps under one delivery model. We do not sell pilots, we ship healthcare AI that survives an audit.