~85% of health orgs now use or explore generative AI, but healthcare has the strictest bar in tech. Clinical AI must run inside a verified HIPAA framework; a repurposed chatbot doesn't qualify.
HIPAA foundation clean clinical data (FHIR) human-in-the-loop AI audit-proof.
Secure, validated AI architecture for biomedical prediction (NLP + PyTorch on HIPAA-aligned AWS).
Rated 5.0 / 5.0 on Clutch
FHIR-based, 25+ microservices, scales to new clinics by configuration.
Live across 4 US clinics, ~300 patients/day
Productivity treated as an engineering target on a compliant foundation.
+60% productivity · −40% wait · −20% cost
Selected Healthcare work, architecture and proof points — a one-page brief you can forward internally.
BeevR builds the unglamorous 99%, data models, audit trails, access control and reconciliation, so the clever 1% survives contact with real users and real auditors. The method holds across every regulated industry we serve.
HIPAA-compliant systems backed by BAAs, encryption and complete audit logs, shipped to production by senior engineers.
PCI DSS 4.0-architected payments orchestration, routing and reconciliation, with clean data and an audit trail built in.
MES, traceability and pick-to-light systems plus industrial AI, built to run reliably on the factory floor.
Regulated industry software development is mostly the work nobody demos: least-privilege access, encryption, reconciliation and the audit trail that survives due diligence. That is exactly the part we build first.
Fixed price, fixed timeline, senior founder-led teams, and full code ownership from day one. Prove it on your data, then scale.