About a-team Marketing Services
The knowledge platform for the financial technology industry
The knowledge platform for the financial technology industry

A-Team Insight Blogs

ValidMind Secures $8.1 Million for Model Risk Management and AI Governance Solutions Development

Subscribe to our newsletter

ValidMind has secured $8.1 million in a seed funding round. The investment will focus on developing model risk management and AI governance within the banking and financial services sectors. The company says the seed round was over-subscribed, demonstrating support from investors in its long-term vision to be the certifying authority for all AI solutions, starting with optimisation of financial institutions’ model risk management processes and enabling efficient and responsible AI governance.

The funding round was led by Point72 Ventures and backed by investors including Third Prime, AI Fund, FJ Labs, New York Life Ventures, Notion Capital, Angel Invest Ventures, and Gaingels. Tripp Shriner, partner at Point72, has joined the ValidMind board of directors.

The company offers an AI risk management solution that allows organisations to automate testing, documentation, and model risk governance for AI and statistical models. By automating model documentation, ValidMind is designed to help increase developer productivity, reduce time to market for models, and improve model risk management outcomes, enabling organisations to deploy AI-backed solutions with integrity, transparency and trust.

The solution is also geared to ensuring compliance with global AI and model risk regulations, such as the EU’s AI Act and the recently announced AI Bill of Rights from the US administration.

“Model risk management teams at financial institutions are struggling to keep up amid increased pressure from the business to deploy more AI solutions faster and from regulators to ensure compliance,” says Jonas Jacobi, CEO and co-founder of ValidMind. “This seed funding round strengthens our commitment to help customers increase the speed and efficiency of model risk management processes, reduce time-to-market for new AI solutions and ensure compliance with global AI and model risk regulations.”

The $8.1 million funding brings ValidMind’s total funds raised to $11.1 million.

Subscribe to our newsletter

Related content

WEBINAR

Recorded Webinar: Are Your Legacy Voice Recordings a Compliance Time Bomb?

Recent enforcement actions underscore the importance of maintaining accurate, secure and up-to-date voice and electronic communication. For some organisations, legacy voice recording systems are not at or beyond end-of-life, posing significant compliance, operational and financial risks. These outdated systems often fail to meet evolving regulatory expectations around data authenticity, retention, and accessibility. Delaying action increases...

BLOG

CFTC Outlines New Framework for Self-Reporting and Cooperation in Enforcement Cases

The U.S. Commodity Futures Trading Commission (CFTC) has issued new guidance on how it will evaluate self-reporting, cooperation, and remediation efforts when considering enforcement actions, marking a significant shift in how firms and individuals can approach regulatory violations—see CFTC Release Number 9054-25. For the first time, the CFTC’s Division of Enforcement has introduced a Mitigation...

EVENT

Buy AND Build: The Future of Capital Markets Technology

Buy AND Build: The Future of Capital Markets Technology London examines the latest changes and innovations in trading technology and explores how technology is being deployed to create an edge in sell side and buy side capital markets financial institutions.

GUIDE

Regulatory Data Handbook 2025 – Thirteenth Edition

Welcome to the thirteenth edition of A-Team Group’s Regulatory Data Handbook, a unique and practical guide to capital markets regulation, regulatory change, and the data and data management requirements of compliance across Europe, the UK, US and Asia-Pacific. This year’s edition lands at a moment of accelerating regulatory divergence and intensifying data focused supervision. Inside,...