
ValidMind is an AI governance and model risk management platform for regulated organizations, including banks and insurers. It connects model testing, documentation, validation, and approval records.
ValidMind connects model validation with enterprise governance across AI and traditional models. Teams can carry test results and documentation into review workflows, then track approval decisions. These records support a compliance assessment; documentation alone does not guarantee compliance.
Run stress tests and scenario analysis, then use the built-in library or your own artifacts to assemble model documentation. Reviewers can inspect results, version documents, and run additional tests.
Validation Automation works alongside an existing inventory and keeps human reviewers involved. Development Automation adds configurable workflows and the ValidMind Library, giving teams a narrower starting point than a full governance deployment.
General Bank of Canada's Chief Risk Officer describes reduced validation time and costs in a ValidMind customer testimonial. Assess the review effort on your own models before assuming similar savings. During a demo, check whether reviewers can trace conclusions back to supporting evidence.
ValidMind uses custom quotes, with no public list prices. Costs depend on model and AI system counts, governance complexity, automation needs, and deployment requirements.
Request a demo using a representative model to assess workflow fit before agreeing on scope.