The Science Behind Relaya
Clinical AI demands more than general-purpose language models. Here's how we build, test, and validate AI specifically for Indian healthcare.
Clinical AI Engine
How our models achieve 97%+ accuracy across Indian medical specialities and multilingual consultations.
Evaluation & Testing
Rigorous testing methodology with clinical advisory boards, speciality-specific benchmarks, and continuous validation.
Safety & Reliability
Drug safety detection, hallucination prevention, and fail-safe mechanisms that protect patient care.
Our Research Approach
Relaya's AI is purpose-built for clinical documentation in India. We don't fine-tune general chatbots. we train specialised models on Indian clinical conversations, medical terminology, and documentation standards.
Our clinical advisory board includes practising physicians across 12 specialities who validate every model update before deployment. Every release goes through a rigorous evaluation pipeline that measures not just accuracy, but clinical safety and completeness.
We publish our methodology and metrics transparently because healthcare AI demands accountability. The pages below detail our approach to accuracy measurement, evaluation methodology, and safety engineering.
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Download our whitepapers on clinical AI accuracy and methodology.
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