Most screening systems treat every alert as a new event. Context is lost. Decisions reset. Analysts investigate the same entity again and again.
Ripjar Screening is an intelligence-led risk screening platform powered by specialised, explainable AI. It resolves every customer against sanctions, PEPs, watchlists and adverse media into a single, dynamic risk profile that accumulates context over time, so every decision your team makes is faster, more accurate and more defensible than the last.
With Ripjar Screening, the unit of intelligence shifts from the alert to the entity. AI doesn't just triage alerts, it builds understanding. Every person or organisation you screen is resolved once, maintained as a dynamic risk profile, and continuously updated as risk evolves. Prior decisions carry forward. Nothing resets.
The result: fewer false positives, faster decisions and a complete audit trail that holds up when your regulators call.
Traditional screening was designed for a simpler world. Fewer lists, fewer customers, less risk. That world is gone. But legacy screening systems haven't kept pace.
Risk and compliance teams now face a compounding problem. Risk sources multiply across sanctions regimes, PEP databases and global media. Name matching struggles with variants, transliterations and aliases across 400+ languages for name matching. False positives flood analyst queues, crowding out genuine risk. Because most systems treat each screening cycle as an isolated event, prior decisions and evidence are discarded.
The result is predictable: rework becomes the default, noise dictates your analysts' time, and your teams are forced to choose between breadth of coverage and speed of review.
Your screening system wasn’t designed to generate decisions. It was designed to generate alerts. That’s the gap you’re living with.
At the core of your screening is a single architectural principle: risk belongs to the entity, not the match.
Every alert links to one entity. Every decision is retained. Nothing resets. The Intelligence Spine is a dynamic, compounding record of your risk that makes every subsequent decision faster, more accurate and more defensible.
Your screening is powered by ULTRA, Ripjar's proprietary Risk Intelligence Engine. 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 and defensible.
Built by intelligence experts, proven with customers, scaled with partners.
↓ 91% false positives
100% traceable decisions
↑ 500% screening coverage
One unified platform
From less than 1M to over 10M names. 90% fewer false positives. 21× faster processing. 300+ customers served.
Extend your screening with Screening Assistant, an agentic AI capability that assesses alerts, auto-closes low-risk items and escalates edge cases with evidence and a full audit trail.
reduction in human effort
increase in screening efficiency
Traditional name matching compares a customer name against risk lists and returns individual hits. Entity-based screening resolves each person or organisation into a dynamic profile that accumulates context from sanctions, PEPs, other watchlists and adverse media over time. Prior decisions carry forward, so analysts start each review with context rather than a blank screen.
Ripjar is data-agnostic by design. It integrates with sanctions lists (OFAC, EU, UK, AUSTRAC and others), PEP databases, a range of adverse media sources and your own internal datasets. There is no lock-in to a single data provider.
Yes. Ripjar’s proprietary name matching is built on over one million name variants across 20+ scripts and 400+ languages for name matching. It resolves transliterations, aliases, diminutives and organisational name parts with 94% improvement over traditional fuzzy text matching.
A false positive is a screening alert that identifies a potential match to a risk list but, upon investigation, is determined not to refer to the same person or organisation. Ripjar reduces false positives through three mechanisms: entity resolution (separating lookalikes early), dynamic profiles (retaining prior decisions so resolved matches don’t re-enter the queue) and Screening Assistant (specialised, explainable AI triage that auto-closes low-risk items with a full audit trail). In live deployments, customers have seen false positive reductions of up to 91%.
Industry estimates put the cost of reviewing a single false positive alert at $30–$70, with enterprise screening programmes generating thousands of alerts per day. At false positive rates of up to 95%, the majority of analyst time and budget is consumed by irrelevant matches.[8] Beyond the direct cost, unresolved false positive volumes create backlog pressure, increase regulatory scrutiny and divert resources from identifying genuine risk.
Defensibility requires three things: evidence that your screening covers all relevant risk sources, a complete audit trail showing how each decision was reached, and proof that your system improves over time rather than resetting with every cycle. Senior manager accountability regimes (SM&CR in the UK, MAS Individual Accountability Guidelines in Singapore) mean screening failures are now attributed to named individuals, not just the institution. An intelligence-led screening platform that retains decision history and explains its reasoning gives compliance leaders the evidence they need when regulators ask how a decision was made.
You’ve seen what Ripjar can do. Now find out where your current screening stands. Book a complimentary Screening Audit, a 30-minute call where a Ripjar screening specialist reviews your capability, identifies gaps and benchmarks against best practice.