Production AI, engineered end to end, six eval-gated service lines.
The same playbook, tuned to the constraints of the sectors we ship into most.
Proof, not promises, selected case studies and recognition.
A transparent, 3-phase playbook from first audit to embedded team.
The senior team behind the work, and how to reach us.
In healthcare, AI has to be safe and provable before it is clever. We build clinical NLP, document intelligence, and workflow automation with the HIPAA safeguards, BAA-ready agreements, and audit trails your compliance and clinical teams require, reducing administrative load without adding clinical risk.
From clinical NLP to FHIR-compliant data pipelines every engagement is designed around the safety, auditability, and compliance requirements of healthcare.
NLP over clinical notes, discharge summaries, and EHR data. Extract diagnoses, medications, and procedures with high accuracy.
AI-assisted ICD-10 and CPT coding from clinical text. Reduce coding backlogs and claim denials with human-in-the-loop review.
Symptom triage chatbots that collect structured intake data and route patients to the right care pathway. Intake, not diagnosis.
LLM pipelines that draft prior authorisation requests and denial appeals from clinical notes, dramatically reducing admin burden.
RAG over trial eligibility criteria matched against patient profiles. Surface eligible trials your clinical team would otherwise miss.
FHIR-compliant data pipelines for analytics, reporting, and AI feature engineering across disparate EHR systems.
PHI must be de-identified, access-controlled, and auditable. We design for HIPAA from architecture not as a retrofit after the product is built.
Clinicians need to understand and verify AI outputs. Black-box models that can't cite evidence are not deployable in clinical settings.
HL7, FHIR, PDF, free text, DICOM healthcare data is messy. We build pipelines that normalise across formats without losing clinical meaning.
Clinical AI should augment clinicians, not replace their judgment. Every workflow we design has a clear escalation and override path.
We build with HIPAA as a first-class constraint: de-identification pipelines for training data, encrypted-at-rest and in-transit storage, role-based access controls, and audit logs for every inference call. We document the data handling policy your compliance team can review.
We have experience integrating with Epic, Cerner, and custom EHR platforms via FHIR APIs and HL7 feeds. We also work with data warehouse exports where direct EHR integration isn't possible.
For structured extraction tasks (diagnoses, medications, procedures) from clinical notes, modern NLP models achieve 90–95% F1 on well-defined entity types. We establish accuracy benchmarks against your data before committing to deployment thresholds.
We build AI systems that support clinical workflows, not FDA-regulated medical devices. If your use case requires 510(k) clearance, we work alongside your regulatory counsel to ensure the system architecture supports the submission process.
30 minutes, one of our seniors, no slide deck. By the end of the call you'll know whether we're the right team, and if not, who is.