AI Compliance Vendors

Mind Foundry

Machine-speed decision support. Designed for deployment.

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Last verified April 27, 2026

Quick facts: Mind Foundry is an AI compliance vendor founded in 2016 and headquartered in Oxford, UK. Pricing is available on request. Profile last verified April 27, 2026, with every claim traceable to a cited public source.

About Mind Foundry

Mind Foundry develops AI and machine learning solutions for high-stakes applications in defense, national security, insurance, and infrastructure. The platform enables organizations to build, deploy, and manage responsible AI systems that integrate sensor data, provide real-time decision support, and adapt continuously to real-world conditions. Key products include SENTRY for battlespace situational awareness via sensor fusion and NIGHTINGALE for acoustic threat analysis. Emphasizing UK sovereign AI, the company focuses on first-principles transparency, human-AI collaboration, and continuous metalearning to mitigate AI risks like model drift and misalignment. Certified to leading industry standards for security and cyber protection, it supports deployed AI in challenging, disconnected environments. While featuring AI assurance, model observability, and governance tools, specific coverage of regulations like the EU AI Act or NIST AI RMF is not explicitly marketed on primary pages. Primarily serves government, defense contractors, and critical infrastructure operators requiring trustworthy AI for operational impact.Mind Foundry homepageLinkedIn

Framework coverage

Not yet catalogued. We only list frameworks when Mind Foundry publicly documents coverage in their own materials. If you work at Mind Foundry and want to add citations, use the correction link at the bottom of this page.

Mind Foundry features

Capabilities Mind Foundry markets publicly. Inclusion means the feature is documented on the vendor's site — not that it's best-in-class. Last verified April 27, 2026.

Model Monitoring

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

Risk Assessment Workflow

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

AI Model Inventory

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

Audit Evidence Collection

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

Human-in-the-Loop

Workflows that require human review or approval for AI decisions.

Explainability

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

Continuous Learning

Model retraining and adaptation based on new data while preserving compliance posture.

Mind Foundry pricing

Enterprise pricing only. Not publicly listed.

Pros and cons of Mind Foundry

Pros

  • UK sovereign AI with emphasis on transparency and human-AI collaboration for high-stakes defense applications.Mind Foundry homepage
  • Certified compliant with leading industry standards for security and supplier assurance.Mind Foundry homepage
  • Continuous metalearning for ongoing model adaptation and risk management in production.GOV.UK
  • Proven deployments in sensor fusion and acoustic intelligence for national security.Mind Foundry resources

Cons

  • Narrow focus on defense/national security post-2025 consulting divestiture, less broad governance platform.EdTech Hub
  • No explicit marketing of coverage for key frameworks like EU AI Act or NIST AI RMF on site.
  • Limited public integrations listed; primarily custom hardware-software pairings like KraitSense.Mind Foundry resources

Frequently asked

What is Mind Foundry?+

Mind Foundry is a AI model risk management platform headquartered in Oxford, UK, founded in 2016. Profile last verified April 27, 2026.

How much does Mind Foundry cost?+

Mind Foundry does not publish pricing. Enterprise pricing only. Not publicly listed.. Verified April 27, 2026.

Who is Mind Foundry for?+

Mind Foundry markets to Government & Public Sector, Insurance, and Manufacturing teams. Match it against your specific framework and integration requirements before committing.

Sources

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