ValidMind

AI Model Inventory

Centralized registry of all AI/ML models in use across the organization, with ownership, lifecycle stage, and risk classification.

Risk Assessment Workflow

Guided workflows for completing AI impact assessments, risk scoring, and approval routing.

Explainability

SHAP, LIME, counterfactual, and feature-importance explanations for model decisions.

Model Monitoring

Production monitoring for performance, drift, data quality, and fairness regressions.

Audit Evidence Collection

Automated collection, hashing, and retention of evidence (model cards, test results, approvals) for audit.

Audit Logging

Tamper-evident logging of governance events (approvals, model changes, policy decisions) required by EU AI Act Article 12 and similar regulations.

Drift Detection

Automated detection of distribution shift, feature drift, prediction drift, and performance degradation in deployed ML/AI models.

Policy Management

Authoring, versioning, and distribution of AI usage policies mapped to regulations.

Regulatory Intelligence

Ongoing tracking of AI laws, standards, and enforcement, mapped to your model inventory.

Data Lineage

Tracking the origin, movement, transformations, and consumers of data used to train and serve AI systems — required for EU AI Act Article 10 data governance and GDPR Article 30 record-keeping.