Quantifind: Adverse Media to Power Risk Intelligence at Scale

Case studies

How do you keep pace with fast-moving financial crime, regulatory change, and geopolitical risk, without drowning analysts in noise?

For Quantifind, the answer is Graphyte™: an AI-based risk intelligence platform that 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 gives risk and compliance teams a broader, fresher, and more precise external signal layer across AML, KYC, sanctions, and investigations.

Quantifind is an AI-based risk intelligence company that helps financial institutions and government agencies truly understand the entities they work with – customers, vendors, counterparties, and beyond.

Its Graphyte™ Risk Intelligence Platform unifies internal data with billions of real-time external signals, including public records, global news, sanctions lists, corporate filings, and more. The result is the industry’s most complete and continuously updated view of “who you’re dealing with”, and where the risk really sits.

Graphyte is built for organisations that need to detect and mitigate financial crime and other threats at speed and scale. Tier 1 and Tier 2 banks, fintechs, and government agencies use Quantifind to:

Screen and monitor customers, counterparties, and suppliers in real time.
Detect and investigate complex financial crimes and adversarial threats.
Operate with precision and explainability across compliance, payments, and national security missions.

Under the hood, Quantifind delivers risk-optimised intelligence through seven integrated capabilities, including:

Enterprise-grade performance – processing billions of data points in milliseconds.
Expansive coverage across 130+ jurisdictions and 10,000+ news sources.
Advanced enrichment – typologies, relevance scoring, and audit-ready evidence.
Entity resolution with Name Science™ – high-accuracy matching across 172 countries.
Relationship risk analysis – uncovering hidden networks, shell structures, and FOCI risk.
AI control and explainability – regulator-ready decisioning in every risk score.

For risk and compliance leaders, that translates into more than 90% accuracy, up to 95% productivity gains, and real-time responsiveness. Turning compliance from a bottleneck into a risk intelligence advantage.

The challenge: fragmented and incomplete external risk signals

Before partnering with Opoint, Quantifind saw a clear pattern across its customers: external risk signals from news and web sources were powerful, but the underlying feeds often fell short.

Teams were bumping into problems like:

Coverage gaps in non-English and local sources – critical stories only appeared in regional outlets or local languages.
Latency – key events showed up in feeds days after they first appeared online.
Missing long-tail and emerging-market sources – especially in higher-risk or less transparent jurisdictions.
Duplication and noise – multiple near-identical stories cluttered analyst queues, making it harder to see the underlying event.

For a platform designed to power AML, KYC, sanctions, and investigation workflows, these limitations were more than a nuisance, they introduced risk

Analysts had to do more manual open-source digging.
Early warning signals were easier to miss.
It became harder to justify decisions to regulators and auditors.

Quantifind needed a partner whose value proposition matched its own: speed, accuracy, and scalability, but for external news and adverse media.

The solution: Opoint’s global web and adverse media inside Graphyte

To strengthen that external signal layer, Quantifind turned to Opoint.

Opoint delivers over 3.5 million news articles per day from well over 250,000 sources in more than 150 languages, giving Quantifind one of the largest single streams of global news and adverse media data available

By integrating Opoint’s data into Graphyte, Quantifind can now:

Ingest a continuous feed of multilingual, global news – including non-English, local, and long-tail sources that are essential for early-stage risk signals.
Refresh external risk data daily (or more frequently) – so signals stay current and actionable, rather than lagging behind events.
Normalise, enrich, and risk-rank stories using Graphyte’s AI models, entity resolution, and graph analytics.
Surface relevant, de-duplicated risk events across AML, KYC, sanctions, and investigative workflows – cutting through noise while keeping the net wide.

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.

Ari Tuchman, CEO Quantifind

A holistic integration strategy

Instead of focusing on individual Graphyte applications, Quantifind deliberately kept the integration approach holistic. Opoint’s data is treated as a core external signal layer that feeds several of its key solutions, especially:

KYC & Onboarding Intelligence – detecting financial crime, reputational issues, regulatory actions, and emerging risks during onboarding and ongoing monitoring.
Transaction Intelligence – enriching counterparties, prioritising alerts, and providing typology-relevant context around suspicious payments.
Investigations Acceleration – giving investigators instant context on allegations, litigation, and criminal activity.
Third-Party & Supply Chain Risk – monitoring vendors, suppliers, and partners for reputational or regulatory issues across global supply chains.

In short: Opoint strengthens the “outside-in” view of risk, while Graphyte does the heavy lifting of fusing that view with internal data and turning it into actionable risk intelligence.

As Quantifind’s Chief Product Officer, Adam Mulliken put it in the original partnership announcement, this content expansion is “game-changing” – greatly enriching risk analysis within the Graphyte platform and helping customers make better decisions, faster.

Impact: richer risk profiles, fewer misses, more productive analysts

The partnership is relatively new, so Quantifind is not yet sharing customer-specific metrics from joint deployments. However, the combined solution already demonstrates clear value for risk and compliance teams in four key areas.

Seeing more of the risk story

Risk events don’t always appear in major global outlets first. Often, the earliest signs show up in:

Local business press.
Regional news sites.
Niche trade and industry publications.

By widening coverage across non-English and local-language media – especially in emerging markets – Quantifind can surface risk signals that might otherwise remain buried. For Chief Risk Officers and Heads of Financial Crime, that means fewer “how did we miss this?” moments.

Reduce detection latency

Early warning is everything. With a continuous stream of fresh articles and daily (or faster) refresh cycles, the external signal layer is much closer to real time.

That makes a difference when:

A counterparty appears in an investigative report.
A key supplier is hit by a regulatory action.
A customer is mentioned in the context of sanctions evasion or fraud.

Teams can respond before audits, enforcement actions, or counterparties move – not weeks after the fact.

Cutting through noise and duplication

More coverage doesn’t have to mean more noise. Graphyte uses entity resolution and risk typologies to consolidate multiple stories about the same event or entity into a single, coherent risk signal.

Analysts see the event, not a wall of near-identical headlines. Time is freed up for judgement and investigation, not just triage

Supporting end-to-end AML and KYC workflows

Because Opoint’s data is woven across several Graphyte solutions, teams benefit at multiple stages of the lifecycle:

Onboarding and enhanced due diligence.
Periodic reviews and high-risk recertifications.
Alert triage and investigations.
SAR drafting and portfolio monitoring.

Quantifind is already known for delivering strong productivity gains in AML and KYC workflows. Opoint’s contribution is to sharpen and broaden the external media layer that those models, scores, and workflows rely on – making it easier to maintain both coverage and explainability.

What’s next: expanding risk coverage together

Quantifind expects its partnership with Opoint to become increasingly strategic as external media continues to play a central role in financial crime detection and risk intelligence. Future collaboration is likely to focus on three areas:

Expanded global coverage
As Quantifind’s customers scale internationally, demand grows for localised, multilingual coverage in emerging markets, high-risk jurisdictions, and regions with fast-moving regulatory environments.
Higher-fidelity media signals for AI models
Graphyte’s AI-native architecture benefits directly from richer, more structured media inputs. Future integration points may include enhanced metadata, improved content classification, and advanced signal extraction to support next-generation risk scoring and typology detection.
Broader content types
Beyond traditional news, Quantifind expects growing value from regulatory announcements, government bulletins, court filings, investigative journalism, and trade publications, helping customers detect legal risk, fraud patterns, and early-stage warning indicators more effectively.

In addition, Quantifind sees emerging use cases where Opoint’s data can add further value, such as proactive risk monitoring, systemic risk and typology detection (e.g. synthetic identity fraud, crypto-enabled crime, trade-based money laundering), supply chain risk, and geopolitical and sovereign risk analysis.

Actionable takeaways for risk and RegTech leaders

For other platforms and institutions thinking about their own external data strategy, a few clear lessons emerge from Quantifind’s approach:

Treat external media as a core signal layer, not an add-on.
Build it into your core workflows (KYC, monitoring, investigations), rather than bolting it on at the last step.
Prioritise breadth and structure.
Global, multilingual coverage matters – but so do normalisation, de-duplication, and enrichment so your analysts aren’t drowning in noise.
Design for explainability from day one.
The combination of well-structured media inputs and transparent AI decisioning makes it far easier to defend decisions to regulators and auditors.
Think ahead about new content types.
Regulatory notices, court documents, and investigative journalism can be just as valuable as mainstream news when it comes to uncovering hidden risk.

If your teams are still juggling fragmented feeds, manual Google searches, and patchy non-English coverage, Quantifind’s Graphyte platform – powered in part by Opoint’s data – shows what a more integrated, scalable risk intelligence layer can look like.

Ready to strengthen your external risk signal layer?

Whether you’re building a RegTech platform, modernising AML and KYC workflows, or expanding global risk coverage, Opoint’s structured web and adverse media feeds can help you deliver the breadth, freshness, and precision your teams need