Quantifind

Patented name matching, entity resolution and contextual scoring across billions of external text sources replace the rigid rules that generate standing alert queues. Strip the models and a watchlist lookup remains, the very approach being displaced.

Work is pointed at analysts, with investigation tooling giving real time context and case manager integrations keeping adjudication inside existing workflows. Which alerts the platform clears without review, what threshold forces referral and whether cleared alerts are sampled are not stated.

Decisions are explainable and evidenced back to source, and part of the method sits in public patent filings. Model documentation, a validation summary and false negative rates for the matching are unpublished.

Seven of the top ten American banks use Graphyte, and a Celent report from February 2026 estimates up to $177.9 million in annual efficiency for a tier one bank. Named customers such as Varo carry no figures, and the homepage claims 10 to 100 times fewer false positives only in aggregate.

Held personal data may be used to create new datasets and to develop, train and fine tune models, per the privacy policy, with deidentification only where appropriate. No boundary keeps one bank's screening data out of models another bank relies on.

Review Data, the personal data held so customers can screen as law requires, is covered by the privacy policy updated September 15, 2026, with access, correction and erasure rights. Retention follows periods set by law or regulators, and fixed periods and named subprocessors are not given.

Security measures are described only in general terms, and no certification, attestation scope or audit period appears on the company's pages.

Customer identification, sanctions and payment screening obligations map onto the product, and Defense Department use implies passage through public procurement review. Quantifind holds no license and says openly that it serves both supervised banks and government users.

Name matching accuracy varies by naming convention, transliteration and script, and adverse media weighted toward English sources thins coverage for some regions. False matches can end a banking relationship for someone who is not the subject, and no per region error analysis or fairness testing is published.

Findings are framed as provable and defensible to supervisors, which gives a bank grounds to challenge one. A 90 percent entity resolution figure carries no method, a wrongly matched person is sent to the bank rather than given a route, and Quantifind publishes no accuracy guarantee or indemnity.

Dow Jones watchlist and news content is integrated into Graphyte, naming whose material underpins much of each screening result. Other sources are described by type and the models are proprietary, while the full source list and the providers behind any generative components go unlisted.

Graphyte Search, Graphyte Queue for case management, batch screening and an API deliver results, and a 2019 announcement describes direct integration with Oracle's financial crime and compliance platform under one login. Core banking connectors, developer documentation and marketplace listings are not published.

Delivery is pure software as a service, with personal data processed where collected or in other jurisdictions and transferred to the US. Hosting provider, regions and separation between bank and government work are undescribed.

Engagement runs through a demo request, and no rate, tier or billing unit is published, so a buyer sees savings claims without the cost side.

Coverage runs from tier one institutions through regional banks to digital banks such as Varo, across onboarding, payment screening and investigations. Federal and defense agencies use the platform for open source intelligence on vendors, and corporates for counterparty risk.