Nasdaq Verafin’s proven solutions with integrated GenAI copilot significantly improve investigator efficiency with up to 90% reduction in alert review time compared to legacy approaches.
Nasdaq Verafin’s proven solutions with integrated GenAI copilot significantly improve investigator efficiency with up to 90% reduction in alert review time compared to legacy approaches.
Nasdaq Verafin has launched Entity Research Copilot, the first of our integrated Copilot capabilities, to bolster our industry-leading financial crime management solutions suite. Integrating generative AI directly into our purpose-built platform and workflows enables financial institutions to realize significant efficiency gains and focus resources on higher-value activities.
Key Features of Entity Research Copilot
Easily Conduct Research
Entity Research Copilot conducts intelligent, automated open-source research to collect relevant information on entities and related counterparties.
Expedite Negative News Searches
By automating tasks associated with gathering information across multiple data sources, Entity Research Copilot expedites negative news searches on alerted entities and counterparties.
Rapidly Summarize Results
Entity Research Copilot summarizes results in a thorough, concise research package for the investigator.
Fully Document Activity
Providing a complete, cited history of activities, Entity Research Copilot ensures your research is documented and auditable.
Expertise in Artificial Intelligence
Verafin has leveraged artificial intelligence for over 20 years to deliver industry-leading financial crime management solutions, combining deep domain and technical expertise with consortium data to help financial institutions maximize efficiency and effectiveness in fighting crime.
Harnessing the Power of Advanced Technology for Anti-Financial Crime
From targeted AI-based analytics to machine learning and generative AI and automation, Nasdaq Verafin’s expertise in applying artificial intelligence to fight crime is trusted by over 2500 financial institutions, representing more than $9 trillion in collective assets. Our consortium data approach enables us to develop and train highly-performant, fit-for-purpose artificial intelligence and machine learning models that provide deep insights into patterns of financial crime.
Targeted AI-Based Analytics
Advanced detection of specific financial crime typologies and complex crimes such as human trafficking.
Machine Learning & Big Data
Analytics trained on our unique consortium data set improve fraud detection with fewer false positives.
Automation with Generative AI
Automation of tasks and streamlined workflows to reduce inefficiencies in compliance processes.
Taking a Step Ahead, Together
As your institution considers the benefits of adopting artificial intelligence, having a partner with deep domain, technology and data expertise is a considerable advantage.
“70% of respondents expect their organization to increase spending on AI or machine learning in the next 1-2 years.”
Learn how artificial intelligence is applied
to fight financial crime.
