Calvin Risk is an AI governance and testing platform designed for organizations deploying machine learning models and large language models (LLMs). It is primarily focused on the financial services sector, including banking and insurance. The platform is organized into four main modules: Governance Inventory - Model Inventory: tracks and catalogs AI/ML models in use - Business Use Case Inventory: documents AI use cases across the organization - Risk Inventory: maintains a registry of identified AI-related risks Quality Assessment and Automation - Quality Metrics: measures model performance and quality indicators - Automated Model Onboarding: streamlines the process of registering new models - Severity Assessment: evaluates the criticality of identified issues Compliance - EU AI Act Obligations: maps model activities to regulatory requirements under the EU AI Act - Evidence Management System (EMS): collects and organizes compliance evidence - Quality Dashboard: provides visibility into model quality status - Risk Policies and Notifications: enforces risk thresholds and sends alerts LLM Assessment - LLM Performance and Robustness: evaluates LLM reliability and resilience - LLM Fairness and Explainability: assesses bias and interpretability of LLM outputs - LLM Safety and Accountability: tests LLMs for safety risks and accountability measures Calvin Risk targets regulated industries, particularly banking and insurance, and positions itself as a tool for meeting AI regulatory obligations including the EU AI Act.