Custom AI/ML models for clinical and operational use cases, including risk prediction, early detection, claims denial reduction, and revenue optimization.

Designed for clinical relevance, operational impact, and explainable decision-making.

Analytics across EHR, claims, billing, and operational data, including NLP on clinical and administrative text.
Transforming longitudinal patient and financial data into actionable insights.

End-to-end development of AI-enabled products for clinical care and healthcare operations.
From architecture and system integration to secure deployment across regulated environments.

Advisory for responsible AI across clinical and business workflows in healthcare.
Focused on privacy, security, explainability, and regulatory alignment.