HealthcareLarge Language ModelsDocument IntelligenceFraud & Anomaly Detection
Orizon fine-tunes GenAI models on Databricks to automate 63% of healthcare fraud-detection code documentation
Orizon, a Brazilian health tech fraud-detection company managing 40,000+ medical billing rules, fine-tuned Llama2-code and DBRX models on Databricks using MLflow and Model Serving, and embedded the resulting LLM chatbot into Microsoft Teams via Unity-Catalog-governed data, so business users could get instant rule explanations instead of waiting on C++ developers. The system now automates 63% of documentation workflows, cut documentation time to under five minutes, freed up 1.5 developers, and is estimated to add 1 billion BRL in productivity.
OROrizon· Brazil
Delta Lake · MLflow · Databricks Model Serving +5 
