This is like giving European police a supercharged search and pattern-spotting engine that can sift through huge piles of digital information—messages, photos, travel records, financial data—to flag suspicious links between people, places, and events that humans would struggle to see in time.
Traditional investigations can’t keep up with the speed and volume of modern digital evidence (phones, social media, databases across countries). Europol’s AI program aims to centralize and analyze large, cross-border datasets to identify suspects, networks, and threats faster and more comprehensively than manual methods.
Access to sensitive, pan-European law enforcement data and legal authority to process it, combined with tight integration into Europol’s workflows and inter-governmental networks, create a moat that commercial vendors cannot easily replicate.
Early Adopters
Unlike commercial law-enforcement analytics platforms, this program is embedded within an EU agency with direct access to operational case data from multiple member states, giving it richer training and evaluation data, as well as regulatory leeway specific to security and policing contexts.
This is like a data-driven ‘weather forecast’ for crime: it looks at past incidents, locations, times, and other patterns to suggest where and when crimes are more likely to happen, and which cases or areas might need extra attention from investigators.
This is like a weather forecast, but for crime. It uses past crime data and neighborhood information to predict where and when crime is more likely to happen so governments and police can plan better.
This is like giving government leaders a super-smart assistant that can quickly read huge amounts of reports, numbers, and citizen feedback, then propose options and likely outcomes so they can make faster, better-informed policy and budget decisions.