ULTRA is Ripjar's proprietary risk intelligence engine — purpose-built for risk detection at enterprise scale.
Every product on the Ripjar platform is powered by ULTRA, which stands for 'Universal Linking Threat Risk Analysis'. Built on national security heritage, ULTRA performs the advanced analytics
behind entity resolution, multilingual name matching and specialised, explainable AI.
It processes billions of data points across structured and unstructured sources, with millions added and processed daily. This is why your screening decisions are fast, accurate and defensible.
General-purpose AI models aren't built for compliance. They produce unpredictable results, resist governance and struggle with the precision your regulators demand.
ULTRA's AI is different. It's specialised, purpose-built for financial crime. Every model is designed for compliance use cases, tested against real-world screening data and built to meet the most rigorous model governance protocols.
Resolves mentions of the same person or organisation across structured and unstructured sources into a single, dynamic risk profile. No duplication. No drift.
Proprietary name matching built on 1 million+ name variants across 20+ scripts and 400+ languages. Resolves transliterations, aliases, diminutives and organisational name parts with 94% improvement over traditional fuzzy text matching (Levenshtein distance).
Every AI-driven decision produces a clear explanation and a defensible audit trail. No black boxes. Built for model governance from the ground up.
Determines the risk-relevant entity within an article or data source using state-of-the-art techniques. Analysts see the person or organisation that matters, not irrelevant mentions of judges, jurors or journalists.
ULTRA ensures reconciled, reliable delivery of risk data to downstream systems. No gaps. No inconsistencies between screening cycles.
Cloud-first, but designed to meet the most exacting requirements. On-premise, hybrid and multi-territory deployments for organisations that need them.
Data visibility is restricted to those who need it and are entitled to see it. Privacy and security by design, informed by national security heritage.
ULTRA works with any volume of data. It supports the most complex global operating environments and scales to hundreds of millions of entities on a single deployment.
Entity resolution is the process of identifying when multiple data records refer to the same real-world person or organisation, even when names, dates or other identifiers vary across sources. In screening, it is the foundation for reducing false positives and building a complete, dynamic view of risk for each customer.
A general-purpose model can read text at scale. ULTRA adds three things built for financial crime compliance. A framework of specialised models resolves entities and attributes risk. A system of record holds a resolved profile per entity and answers each query from what is already known. And every output carries an audit trail back to its source articles.
ULTRA is Ripjar's proprietary intelligence engine and the foundation of everything on the Ripjar platform. It reads 10bn+ historical articles and 5m+ new articles each day across 150+ languages, resolves them into roughly 15m entity profiles at 98.7% entity accuracy, and maintains the system of record for entity risk. Ripjar is trusted by 400+ customers worldwide, including 25% of Global Systemically Important Banks and 35+ Global Fortune 500 enterprises.
Book a demo to see how the engine powers faster, more accurate screening decisions at enterprise scale.