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SaaS solution delivers power of contextual data, analytics, & AI to financial crime detection and prevention, resulting in 75% fewer false positives and 80% faster investigations
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LAS VEGAS, Sept. 16, 2025 (GLOBE NEWSWIRE) — Quantexa, a pioneer in Decision Intelligence (DI) for enterprises and public-sector agencies, today at ACAMS Las Vegas 2025 announced the general availability of its Cloud AML offering, a SaaS product delivered on Microsoft Azure, designed specifically for U.S. mid-size and community banks.
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Developed with direct input from banking professionals at institutions managing $5 billion plus in assets, Quantexa Cloud AML provides the proven capabilities used by global Tier 1 banks, to deliver ROI, competitive advantage and preserve the trusted relationships at the heart of mid-size and community banks. The result is greater data accuracy, sharper detection, faster decisions, and operational efficiency when it comes to investigating and disrupting financial crime.
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A New Standard for AML in Mid-size & Community Banking
Mid-size and community banks are the backbone of the U.S. economy, financing local businesses that employ nearly half of America’s workforce, and serving as trusted pillars in their communities. While the spotlight often falls on large institutions, mid-size and community banks face the same regulatory expectations as the largest banks, but with fewer resources.
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In the recently released Quantexa FinCrime Pulse Report: US Mid-size and Community Banks, nearly half of AML professionals cite outdated technology as a barrier to detecting threats (i.e. money laundering, human trafficking, terrorist financing), even as 94% express confidence in their defenses. This gap underscores the urgency for technology and skills modernization and highlights why products like Quantexa Cloud AML are so critical for banks looking to improve detection and efficiency while managing risk.
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Quantexa Cloud AML levels the playing field, empowering financial crime teams to:
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- Create a single trusted view with AI-powered entity resolution and contextual analytics that unify customer and counterparty data. Cut investigative effort by over 50% by eliminating manual data gathering through a pre-built 360° view.
- Cut through the noise with contextual monitoring, external data enrichment and customer risk rating capabilities that reduce false positives by up to 75%.
- Deploy at speed and create agility with a pre-packaged SaaS product that provides an accelerated time-to-value with a comprehensive implementation process.
- Boost productivity and effectiveness with Q Assist, an embedded AI Copilot, users can use natural language to converse with contextual insights. This empowers users to identify more risk faster.
- Uphold regulatory requirements with intuitive and secure information sharing via 314(a) and 314(b) as well as AI-augmented reporting for more efficient and accurate SAR and CTR filings.
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Chris Bagnall, Head of Financial Crime Solutions for North America at Quantexa, said:
“For too long, mid-size and community banks have been held to standards of larger institutions with the same level of regulatory accountability without Tier-1 staffing, budgets or technology. Quantexa Cloud AML changes that equation. With alignment from trusted anti-financial crime professionals, it is accurate, cost-effective, flexible and data driven to enable these banks to focus their teams on the threats that matter most.”
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