Keeping pace with fast-moving financial crime, regulatory change and geopolitical risk has become one of the defining challenges for compliance teams.
As threat vectors multiply and regulatory scrutiny intensifies, risk and compliance leaders are under pressure to act faster and more accurately, without overwhelming analysts with irrelevant alerts or fragmented data, said Opoint.
Quantifind positions its Graphyte™ Risk Intelligence Platform as an answer to this challenge. The AI-based platform fuses internal data with billions of real-time external signals, including public records, sanctions lists, corporate filings and global news.
By integrating Opoint’s multilingual web data and adverse media, Quantifind expands this external signal layer, giving financial institutions and government agencies a broader and more current view of risk across AML, KYC, sanctions and investigations.
At its core, Quantifind is an AI-driven risk intelligence company designed to help organisations understand who they are dealing with, from customers and counterparties to suppliers and third parties. Graphyte unifies internal datasets with continuously updated external sources, creating a consolidated and auditable view of entity risk that can be applied consistently across onboarding, monitoring and investigative workflows.
The platform is built for scale. Tier 1 and Tier 2 banks, FinTechs and government agencies use Quantifind to screen and monitor entities in real time, investigate complex financial crime and operate with explainability across compliance, payments and national security use cases. Behind the scenes, Graphyte combines enterprise-grade performance, coverage across more than 130 jurisdictions, advanced enrichment and high-accuracy entity resolution through Name Science™. Relationship risk analysis and transparent AI decisioning further support regulator-ready outcomes.
For risk and compliance leaders, this translates into accuracy rates above 90%, productivity gains of up to 95% and real-time responsiveness. The goal is not simply to reduce false positives, but to turn compliance into a source of actionable intelligence rather than a bottleneck.
Before integrating Opoint’s data, Quantifind identified persistent weaknesses in traditional external risk feeds. Coverage gaps in non-English sources, delays in surfacing breaking events and limited access to long-tail or emerging-market publications meant that early warning signals were often missed. Duplicate stories and unstructured data added further noise, increasing analyst workload and making regulatory justification more difficult.
By embedding Opoint’s global web and adverse media directly into Graphyte, Quantifind addresses these challenges head-on. The platform now ingests multilingual and local news continuously, refreshes external risk data daily or more frequently, and applies AI-driven normalisation, enrichment and de-duplication. Relevant risk events are surfaced across AML, KYC, sanctions and investigative workflows, without sacrificing breadth of coverage.
Quantifind CEO Ari Tuchman said, “The integration of Opoint’s comprehensive news data with Quantifind’s AI-driven insights significantly enhances our ability to provide clients with timely and actionable intelligence.”
Rather than limiting the integration to a single product, Quantifind adopted a holistic strategy. Opoint’s data feeds into multiple Graphyte solutions, including KYC and onboarding intelligence, transaction monitoring, investigations acceleration and third-party and supply-chain risk. As Quantifind chief product officer Adam Mulliken described in the original partnership announcement, the expansion is “game-changing” for how risk is analysed and prioritised across the platform.
Looking ahead, Quantifind expects the partnership to deepen as customers demand broader global coverage, richer media signals for AI models and access to new content types such as regulatory notices, court filings and investigative journalism. Together, these sources support earlier detection of financial crime, supply-chain disruption and geopolitical risk.
For RegTech leaders, the takeaway is clear: external media should be treated as a core signal layer, embedded into workflows from day one, structured for explainability and designed to scale with evolving risk landscapes.
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