# Mind Foundry > Enterprise AI platform for responsible model deployment in insurance, infrastructure, and defence\. ## At a glance | Field | Value | | --- | --- | | Category | Data & Analytics | | Type | Solutions Provider | | Region | EMEA | | Headquarters | Oxford, United Kingdom | | Founded | 2016 | | Stage | Growth | | Employees | 51-200 | | Funding | Series B | ## Overview Mind Foundry is an enterprise AI platform provider for carriers and other organizations deploying AI models in high-stakes environments, including insurance pricing, claims, and fraud detection. The company was founded in 2016 as a spin-out from the University of Oxford by Professors Stephen Roberts and Michael Osborne, whose academic backgrounds span Bayesian inference, signal processing, and probabilistic numerics. The company delivers a continuous metalearning platform that allows AI models to adapt to changing data in production without manual retraining, while maintaining governance controls such as explainability, fairness monitoring, bias detection, and data drift alerting. The platform is designed to meet regulatory requirements for responsible AI deployment, addressing emerging frameworks across 70+ countries. Mind Foundry has raised USD 46.5M across multiple rounds, including a Series A led by Aioi Nissay Dowa Insurance of Europe in 2020 and a Series B in 2023. In December 2025, Aioi Nissay Dowa Insurance (AND-E) acquired Mind Foundry's AI consulting division, consolidating that work under the Aioi R&D Lab-Oxford alongside the founding professors. ## Products & services ### Continuous Metalearning Platform The core platform enabling AI models to self-optimize and adapt to new data patterns in production environments. Models identify emerging signals -- such as new fraud typologies -- without manual retraining, while retaining explainability and governance controls. **Key features:** - Continuous learning from production data streams - Automated detection of emerging patterns \(e\.g\., new fraud types\) - Governance controls maintained throughout model lifecycle - Provenance tracking and audit trail *Target users:* Enterprise carriers and insurers deploying production AI models ### Fraud Detection Solutions AI-powered fraud detection applied to insurance claims workflows, with results documented through the strategic partnership with Aioi Nissay Dowa Insurance. The system delivered a 120% improvement in fraud detection compared to traditional rule-based approaches within the first deployment month. **Key features:** - Continuous metalearning to catch evolving fraud schemes - Explainable outputs for adjuster review - Integration with claims management workflows *Target users:* P&C carriers, claims teams ### Pricing and Claims AI AI-driven tools for insurance pricing optimization and claims triage, with built-in controls for regulatory compliance and model fairness. **Key features:** - Pricing model building, testing, and deployment - Claims scoring and triage automation - Regulatory\-aligned explainability outputs *Target users:* Underwriting and claims teams at carriers ### AI Governance Framework A structured framework for monitoring, auditing, and controlling AI models across the insurance enterprise, addressing requirements from global AI regulations. **Key features:** - Fairness and bias monitoring - Data drift and data integrity alerts - Model robustness assessment - Privacy compliance controls *Target users:* CROs, data science teams, compliance officers at carriers ## Category & focus - Subcategories: Fraud Detection, Pricing Analytics, AI Governance, Predictive Modeling - Insurance verticals: P&C Personal, P&C Commercial, Specialty/E&S - Target customers: Carriers ## Notable customers - Aioi Nissay Dowa Insurance Company of Europe \(AND\-E\) \-\- strategic partner, fraud detection deployment ## Links - Website: - Directory profile: - Blog: - Careers: - Linkedin: - Press/news: - Insurance solutions: --- *Last updated: 2026\-06\-14*