About
SAS: Data and AI Solutions provides organizations with advanced analytics and artificial intelligence software to help make smarter, data-driven decisions. Their comprehensive platform addresses compliance within AI governance, supporting ethical and responsible AI deployment through robust model risk management. SAS stands out in aiding industries with innovative solutions that empower users to unlock the full potential of their data while ensuring adherence to governance frameworks.
Related Vendors
trac is described as a ModelOps platform for structural analytics designed to manage complex, highly regulated models and calculations. The product is positioned around the model lifecycle with a compliance-first approach and explicit reference to model risk management (MRM). The site emphasizes control and auditability, promising "stronger controls, richer analytics, and lower cost across the model lifecycle." trac lets users build portable Python models and use the same versioned code in multiple environments without modification or complex deployment steps. The messaging focuses on providing controls, versioning and portability for regulated analytics workflows rather than on generic analytics.
AiEnsured tests AI systems for bias and fairness, adversarial robustness and GenAI security (including prompt injection), explainability, privacy and drift, and supports Responsible AI assessments and audit readiness. The organisation has been found to conform to ISO/IEC 42001:2023, with a scope covering the full AI lifecycle, the AiEnsured product suite and its own internal AI use. Sectors include banking, insurance and healthcare. Public evidence:
FI Consulting specializes in helping commercial and government sector financial institutions leverage data, analytics, modeling, and technology. Their Model Risk Manager (MRM) is a powerful, highly customizable system that enables effective governance throughout the entire model management lifecycle. It features native integration with tools used by government agencies, enhancing visibility, resource management, and collaboration across acquisition lifecycles. By combining enterprise-level security with configurable features, it improves the tracking of critical data and governance within the model management process.
