Relentless Digital Fraud Demands AI-Driven Defense

StandardC and Quantifind Forge Strategic Partnership to Deliver Next-Gen AI-Driven Compliance Solutions

StandardC, the leading provider of fully integrated business identity solutions, and Quantifind, the award-winning AI-powered risk management platform, announced a groundbreaking partnership to deliver the next generation of compliance solutions for financial institutions.

This strategic collaboration will seamlessly embed Quantifind’s cutting-edge Precise Risk Intelligence solutions into StandardC’s comprehensive Unified Customer Management platform. This powerful combination will enable financial institutions to:

• Advance Risk Detection: Leverage Quantifind’s AI-powered entity matching, natural language processing, and name science to uncover hidden connections, emerging threats, and risk signals with unmatched precision.
• Maintain Continuous Compliance: Eliminate periodic KYC with real-time risk assessments and continuous customer monitoring, ensuring ongoing compliance with evolving regulations.
• Gain Instantaneous Insights: Make informed risk decisions with real-time risk assessments based on fresh data, allowing for swift action on potential threats.

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“The future of AI-powered fraud demands AI-powered defenses,” said Robert Mann, CEO of StandardC. “By combining StandardC’s industry-leading dynamic business identity with Quantifind’s award-winning AI, we empower financial institutions with the most advanced and efficient compliance solutions. This partnership marks a significant leap forward in the fight against financial crime and ensures our customers can stay ahead of the curve.”

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“Quantifind is thrilled to partner with StandardC to deliver our AI-powered risk intelligence solutions to a wider audience,” said Graham Bailey, COO of Quantifind. “By integrating Quantifind’s advanced technology within StandardC’s integrated system, we provide financial institutions with a seamless and powerful solution to streamline compliance, mitigate risk, and protect their businesses. This collaboration represents a critical step in democratizing access to cutting-edge AI for financial institution risk management.”

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