About

DorothAI™ is a clinical AI competency implementation and adaptive validation architecture that bridges the gap between general LLM capabilities and clinically benchmarked competencies, enabling the development and deployment of Safe Language Models™ across healthcare providers. It continuously evaluates and refines clinical AI competencies against evolving national reference standards and real-world patient outcomes, supporting the safe, evidence-based application of LLMs to defined clinical tasks. 

Working in conjunction with LAIVE™, which enables the development, validation and maintenance of national clinical reference standards through AI-mediated learning, DorothAI™ supports a continuous learning cycle across health systems, helping ensure that clinical AI performance remains aligned with emerging evidence, clinical practice and patient outcomes.

LAIVE™ (Learning AI Validation and Implementation Environment) is a national-scale platform that enables healthcare providers to develop, validate and maintain national reference standards for AI-enabled care through an AI-mediated learning process. It connects clinical knowledge, evidence, real-world data and expert judgement to establish benchmarks for clinical competency, safety and effectiveness, and supports their continuous refinement as evidence and practice evolve. By enabling standardised evaluation across organisations and care settings, LAIVE helps translate local experience and emerging evidence into shared national reference standards that support consistent assessment, safe implementation and ongoing improvement of AI-enabled healthcare across healthcare organisations.