Prodigy AI Solutions

Healthcare AI cannot be more reliable than the knowledge and data behind it. Yet medical information is scattered across documents, while clinical and imaging datasets are often incomplete, inconsistent and unbalanced.

Prodigy AI Solutions is developing practical AI infrastructure to close both gaps.

Our established platform, Verbis Graph, transforms complex clinical, scientific, quality and regulatory documents into connected, searchable knowledge. It helps healthcare and life-sciences teams obtain precise, source-linked answers while retaining control over their data and deployment environment.

In parallel, we are developing a new machine-learning model for privacy-conscious synthetic medical imaging. The model is designed to complement real datasets by generating synthetic CT images and clinical variables, expanding underrepresented patient cohorts, completing missing imaging types and reducing differences caused by scanners or acquisition protocols.

We are seeking hospitals, radiologists, oncology centres, clinical researchers, medical-imaging AI companies and life-sciences organisations for clinical validation, joint R&D, scientific publications and commercial pilots.

Let’s collaborate to make healthcare AI more complete, representative and trustworthy.