There is an urgent need for secure explainable AI for healthcare. Regulators demand auditability, traceability and explainability yet no system links every AI output back to the patient's medical evidence.
esope.ai makes
medical
AI explainable.
We specialize in cutting-edge products dedicated to adapting artificial intelligence (AI) models for the clinical domain. Our focus is on transitioning from medical documents to medical data, thereby enabling digital processing of patient's data. This approach helps to reduce costs and time associated with treatments while improving transparency, trust, and overall medical care.
Domain Specific
Ontological Data
Base Model
esope stores and structures medical data using an ontological graph model. Unlike traditional databases, this model understands how medical concepts relate to each other – for example, how symptoms, diagnoses, and therapies are connected.
The ontology has been designed by medical experts, ensuring that every data point reflects real clinical logic and relationships. This structure enables hybrid AI to reason, explain, and deliver evidence-based insights.
We are building the foundation for
transparent, explainable, and
human-centered medical AI.
Join us on our journey to develop next-gen medical-grade AI, setting standards and a
new benchmark for trustworthy clinical decision support.