Quantifind is positioning adverse media as a core pillar of modern risk intelligence as financial institutions grapple with faster-moving financial crime, regulatory change and geopolitical volatility.
According to Opoint, rather than adding more alerts and noise for already stretched analysts, the company has focused on improving the quality, freshness and structure of external risk signals feeding its AI-driven Graphyte™ platform.
Quantifind is an AI-based risk intelligence company supporting financial institutions and government agencies in understanding the entities they interact with, from customers and vendors to counterparties and suppliers. Its Graphyte™ Risk Intelligence Platform fuses internal data with billions of real-time external signals, including public records, global news, sanctions lists and corporate filings, to deliver a continuously updated view of risk and exposure.
Designed for organisations operating at scale, Graphyte supports Tier 1 and Tier 2 banks, FinTechs and public-sector bodies across AML, KYC, sanctions screening and investigations. Customers use the platform to screen and monitor entities in real time, investigate complex financial crime and adversarial threats, and operate with precision and explainability across compliance, payments and national-security use cases.
Underpinning this capability is a suite of enterprise-grade features, including high-performance data processing across billions of data points, coverage spanning more than 130 jurisdictions and over 10,000 news sources, advanced enrichment and relevance scoring, and high-accuracy entity resolution through Name Science™. Relationship risk analysis uncovers hidden networks and shell structures, while explainable AI ensures regulator-ready decisioning at every stage.
Despite these strengths, Quantifind identified a persistent challenge shared by many risk and compliance teams: fragmented and incomplete external media feeds. Prior to its partnership with Opoint, customers faced gaps in non-English and local coverage, delays between events occurring and appearing in feeds, limited visibility in emerging markets, and duplicated stories that cluttered analyst queues. These shortcomings increased manual research, raised the risk of missed early warning signals and made regulatory justification more difficult.
To address this, Quantifind integrated Opoint’s global, multilingual web data and adverse media directly into Graphyte as a core external signal layer. The integration enables continuous ingestion of local and non-English sources, more frequent data refreshes, and AI-driven normalisation, enrichment and de-duplication across AML, KYC, sanctions and investigations workflows.
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 multiple Graphyte solutions, including KYC and onboarding intelligence, transaction intelligence, investigations acceleration, and third-party and supply-chain risk monitoring. This approach strengthens the platform’s outside-in view of risk while allowing Graphyte to fuse external signals with internal data to produce actionable intelligence.
While the partnership is still relatively new, Quantifind expects collaboration with Opoint to deepen as demand grows for broader global coverage, higher-fidelity media inputs for AI models, and additional content types such as regulatory notices, court filings and investigative journalism. Emerging use cases include proactive risk monitoring, typology detection, supply-chain risk and geopolitical analysis.
For RegTech leaders, Quantifind’s approach offers clear lessons: treat external media as a foundational signal, prioritise structured and multilingual coverage, design for explainability, and plan for expanding content sources as risk landscapes evolve.
If teams are still relying on fragmented feeds and manual searches, Graphyte’s integration with Opoint illustrates how adverse media can be transformed from noise into scalable, decision-ready risk intelligence.
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