Klear.ai Analytics is an AI-driven platform designed for insurance risk and claims management. The product processes structured and unstructured data using deep learning models and statistical algorithms to generate predictive insights. The platform provides multiple AI model types including predictive models for anticipating risks, detection models for identifying anomalies, and prescriptive engines for generating recommendations. The analytics module can be deployed independently or integrated into larger systems. Key analytical capabilities include severity index prediction for claim risk classification, reserve adjustment forecasting organized by cost components, litigation propensity prediction, and subrogation opportunity identification. The platform includes fraud detection capabilities for both claimant and billing fraud, overbilling detection through anomaly algorithms, and identification of examiner-provider relationships. The system offers provider recommendation functionality, nurse case manager assignment, settlement recommendations, and audit targeting. Additional detection features include accelerated billing identification, injury and ICD code anomaly detection, and specialty anomaly identification for rare procedures. Data visualization is provided through interactive dashboards presenting business indicators derived from AI modeling. The platform includes workflow automation capabilities for process streamlining through end-to-end automation and modular architecture.