Case Study: Quantifind achieves broader, faster risk intelligence with Opoint's adverse media feeds

Quantifind powers risk intelligence with Opoint’s 3.5M daily news articles

Quantifind, an AI-based risk intelligence company, faced challenges with fragmented and incomplete external risk signals from news and web sources. Their platform, Graphyte, was hindered by coverage gaps in non-English media, latency, and data duplication, which increased risk for their financial institution and government agency clients. To overcome this, they partnered with the vendor Opoint to integrate a more robust external data layer.

By integrating Opoint’s global web and adverse media data, Quantifind gained access to over 3.5 million articles daily from more than 250,000 sources. This solution provided broader, fresher, and more precise multilingual coverage, which Quantifind's AI models then normalized and risk-ranked. The results included richer risk profiles, reduced detection latency, and more productive analysts, with Quantifind reporting up to 95% productivity gains for their clients' risk and compliance teams.

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