Ripjar Recognised as Category Leader in Chartis Watchlist and Adverse Media Quadrants 2026
Ripjar has once again been recognised as a Category Leader in two Chartis RiskTech Quadrants for 2026:
- Adverse Media Monitoring Solutions
- Name & Transaction Screening Solutions
This marks the third consecutive year Ripjar has been recognised as a Category Leader in both quadrants, reaffirming our position at the forefront of AI-native watchlist screening and adverse media monitoring.
The Chartis “Watchlist and Adverse Media Monitoring Solutions 2026” Quadrant Update highlights a market increasingly shaped by AI-led innovation, expanded data orchestration, and the growing adoption of agentic AI and large language models (LLMs) to reduce false positives.
Being named Category Leader in both quadrants reflects our continual work at the forefront of these trends and our commitment to delivering smarter screening and a dynamic view of risk.
Chartis defines Category Leaders as firms that “exhibit strength across the broadest set of technological and performance capabilities in the segment, showing a clear execution of core strategy and innovation.”
What the scores reflect
Across both quadrants, Ripjar achieved a top-tier score in data methodology, which reflects how the platform approaches the problem from the ground up. Where most screening systems start with matching, Ripjar starts with context. Before any match is made, the platform ingests, resolves and enriches global risk data, drawing on entity extraction across 1M+ name variants and 400+ languages, scripts and dialects, so that what reaches the analyst is intelligence, not noise.
Across both name and transaction screening and adverse media, AI-powered workflow tools including Dynamic Risk Profiles, AI Summaries and Screening Assistant help analysts understand, prioritise and act faster.
In name and transaction screening, this foundation delivers a 94% improvement over fuzzy matching technology and 99% true positive detection. These results directly underpin Ripjar’s top-tier data methodology score and, for our customers, translate into fewer false positives, less rework and decisions that are traceable back to source evidence.
Ripjar also achieved the joint highest reporting and auditing score across the entire vendor landscape, reflecting a platform where auditability is built into every decision, not added after the fact. For compliance teams operating under increasing regulatory scrutiny, this matters as much as screening accuracy itself.
In adverse media, the same data methodology strength applies, with intelligent classification and precise entity resolution connecting fragmented signals to the real-world entity behind them. The platform achieves a 91% reduction in false positives, directly addressing one of the most operationally costly challenges in adverse media screening and ensuring analysts are focused on genuine risk rather than noise.
Sean O’Malley, Research Director at Chartis, comments:
“Ripjar’s category leadership in both quadrants reflects its strong growth, continued innovation and the strength of its platform across data methodology, workflow design, deployment and reporting transparency. Combined with the speed, scale and performance of its screening solution, these capabilities have helped Ripjar achieve strong market penetration and stand out in both name and transaction screening and adverse media monitoring.”
Building on a strong foundation
This recognition reinforces not only our achievements to date but also the future direction of our platform and ongoing innovation. At Ripjar, we are focused on transforming AML compliance and combating crime through smarter screening and an integrated, dynamic view of regulatory and reputational risk. As the market evolves, we will continue investing in AI-native capabilities that help compliance teams move faster, reduce noise and make more confident, transparent decisions at scale.