We’re excited to announce that Vectice has been named to the RegTech100 list for 2025!

This recognition is a testament to our innovative approach to AI model development and validation documentation, model governance, and compliance, and it highlights our commitment to helping organizations safely navigate the complexities of AI in a rapidly evolving regulatory landscape.
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The Complex Regulatory Landscape

The inclusion of Vectice in the RegTech100 comes at a pivotal time when AI/ML innovation is advancing rapidly, and regulatory oversight is intensifying globally. Reflecting on this dynamic environment, Christian Kaas, Co-Founder and President of Financial Services at Vectice, shared:
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“Banks tend to not only have many different use cases for AI, they also tend to be multi-geography. That puts them at the intersection of all these different, often overlapping, AI rules. And that’s just new AI regs – it’s not like the banking ones are going away – they are evolving, too.”

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As the regulatory frameworks for AI continue to mature, compliance overhead is expected to increase. Kaas explained:
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“What banks can, and should, be thinking about is how to reinvent their approach to model governance so that these new expectations don’t completely sink their productivity and speed of innovation.”

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Why Vectice Stands Out

Vectice was designed to revolutionize AI/ML model governance, focusing on simplifying and enhancing model development and validation documentation processes without burdening developers and validators. Kaas noted:
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‍“With a smaller team, you can somewhat muddle through. But as your team and model inventory grows, good governance becomes a huge bottleneck getting models into production. Model documentation is one of the key components of that good governance.”

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The Vectice platform includes features such as:

• Automated Documentation: Generating Model Development Documents (MDDs) and Model Validation Documents (MVDs) with minimal effort from developers.
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• Audit-Ready Lineage: Capturing metadata throughout the model lifecycle, enabling robust traceability for auditors and validators.
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• Developer-Friendly Design: Enhancing team productivity by automating up to 90% of documentation tasks.

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Kaas emphasized the transformational potential of these features:
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“In one line of code, we can understand the work of the developer, the assets that are being produced, the models, the datasets – really with zero effort from the developer.”

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A Commitment to Model Risk Management

Vectice addresses one of the most pressing challenges in financial services today: ensuring AI models are not only innovative but also reliable and compliant. As Kaas explained:
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“Model documentation isn’t just a regulatory checkbox – it’s one of the best ways we have to understand and manage the risk that comes with these models.”

This philosophy drives our mission to accelerate AI adoption and value creation in organizations, with less risk.

Looking Ahead

With this recognition, we’re doubling down on our vision to do everything possible to help organizations safely realize the potential of AI. Reflecting on the future, Kaas remarked:
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“Historically, model documentation has been a necessary evil. That’s a limiting view. In the future, model documentation is not only useful from a regulatory and compliance standpoint, but also from a managerial standpoint to help you manage knowledge, build better AI, and develop better people.”

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Thank You
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We extend our gratitude to our team, partners, and clients who continue to trust and support Vectice. Your collaboration fuels our drive to change how banks manage their risk.

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