FinScan, an Innovative Systems solution and provider of AML and sanctions compliance technology, and Quantifind, a provider of AI-powered financial crime and national security risk intelligence, have formed a strategic partnership designed to help compliance teams identify financial crime risks before they appear on formal watchlists.
The partnership integrates Quantifind’s AI-driven adverse media intelligence into FinScan’s existing sanctions, politically exposed person (PEP) and watchlist screening workflows. The integration gives compliance teams a unified view of screening activity, while FinScan’s precision matching and data quality tools are designed to filter duplicate and low-value alerts and connect relevant adverse media findings to a customer’s overall risk profile.
At the centre of the integration is Quantifind’s Graphyte platform, which continuously scans global news and other public sources for emerging financial crime risks. Built on purpose-built language models, AI-driven entity resolution and dynamic risk typologies, Graphyte processes multilingual content while keeping client data within an organisation’s own jurisdiction.
The combined platforms allow institutions to continuously monitor customers, suppliers and counterparties against global news and investigate confirmed risks within the same workflow used for sanctions and watchlist checks. The offering is aimed at banks, insurers, payment providers, FinTechs and other regulated firms seeking to strengthen AML controls, reduce investigative workloads and accelerate risk decisions.
The partnership comes as regulators increasingly focus on whether AML controls are effective rather than simply whether they exist. FATF’s fifth round of mutual evaluations places greater emphasis on measurable outcomes, while the Wolfsberg Group continues to advocate a risk-based approach. Adverse media is an important part of this challenge, as individuals linked to money laundering, human trafficking and corruption may never appear on a formal sanctions list.
Innovative Systems’ FinScan provides AML compliance technology for hundreds of organisations, covering KYC, sanctions screening, risk scoring and data quality. Quantifind provides AI-powered risk intelligence through its Graphyte platform, combining internal, third-party and open-source data to help organisations identify financial crime risks.
FinScan chief operating officer Deborah Overdeput said, “Regulators increasingly expect AML programs to demonstrate effectiveness, not simply the existence of controls. Adverse media has become one of the hardest areas to get right because the volume is enormous and much of it is noise. Compliance teams can spend countless hours reviewing alerts while still missing the customer who was never on a watchlist. Graphyte helps identify what matters, while FinScan provides the data quality, precision matching, and workflow to turn those insights into action.”
Quantifind COO Graham Bailey added, “Modern compliance programs need adverse media intelligence that is accurate, explainable, and fast enough to support confident decision-making. Graphyte was built to resolve entities and assess risk across vast volumes of public data with the transparency regulated organizations require. Partnering with FinScan enables compliance teams to incorporate that intelligence directly into their existing screening workflows, helping analysts make faster, more informed decisions.”
The partnership reflects a broader shift towards continuous and intelligence-led AML monitoring, as regulated firms seek to identify risks beyond traditional watchlists and strengthen how they assess customers and counterparties.
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