Ripjar has been ranked #20 in the Chartis Financial Crime and Compliance (FCC) 50 for 2026, marking the third consecutive year the company has placed in the top 20 of the global ranking of financial crime technology providers.
This year, Ripjar was also ranked #4 for Core Technology and recognised again for its innovation in AI, marking the third consecutive year the company has been highlighted by Chartis for advances in artificial intelligence.
Artificial intelligence is transforming how financial institutions detect and investigate financial crime. Reflecting this shift, the 2026 Chartis FCC50 report places particular emphasis on the growing use of agentic AI and generative AI, which are enabling organisations to analyse larger and more complex datasets while improving investigative efficiency.
Widely regarded as one of the most comprehensive independent evaluations of financial crime and compliance technology vendors, this year’s FCC50 ranking assessed 98 vendors, highlighting the rapid growth and innovation across the financial crime technology landscape.
Ripjar’s performance in this year’s ranking reflects the strength of the technology underpinning its platform. At the heart of the platform is a proprietary risk intelligence engine that powers entity resolution, multilingual name matching and AI driven risk classification across large and complex datasets. Built on national security heritage, the technology processes billions of structured and unstructured data points daily to uncover risk signals and connect entities across global data sources, enabling investigators to detect financial crime faster while maintaining the transparency and explainability required for regulatory compliance.
Ripjar is also applying these AI capabilities directly to investigative workflows with its Screening Assistant.
Screening Assistant uses AI to assess screening alerts, automatically close low risk matches and escalate edge cases with evidence and a full audit trail, delivering up to a 90% reduction in false positives and up to a 1,000% increase in screening efficiency. Capabilities like Screening Assistant reflect the innovation recognised by Chartis through its LLM Innovation award, demonstrating how advanced AI can transform compliance operations while maintaining governance and explainability.
“Being recognised by Chartis for both Core Technology and LLM innovation is a strong validation of the approach we’ve taken at Ripjar,”
said Joe Whitfield-Seed, Chief Technology Officer at Ripjar.
“Financial crime is a complex data and intelligence problem, especially at scale. By combining a powerful technology foundation with purpose-built AI and language models, we’re helping organisations uncover hidden risk faster and make better decisions.”
As financial crime continues to evolve and risk becomes increasingly interconnected across jurisdictions, data sources and networks, financial institutions must modernise their approach to detection and investigation.
To learn more about how organisations can adapt to this changing landscape, join our upcoming webinar, Modernising AML for a Networked Risk Landscape, where Ripjar experts will explore how advanced analytics and AI are transforming financial crime intelligence.
