IAMI aims to revolutionize entity identification and resolution in security, intelligence, and investigation contexts. It addresses the challenges and limitations faced by current entity identification and resolution techniques. For example, identification and resolution of muti-modal probe attributes, including weak ones, in noisy, dynamic, or crowded environments. And identification and resolution of muti-modal probe attributes when there is a large amount of information to analyze.

This is done by an advanced AI-powered system designed for large-scale continuous analysis of the flux of probe attributes. The project vision is to propel EU Law Enforcement Agencies and security and intelligence organizations into a new era of intelligence, investigation, and forensic capabilities in their fight against crime and terrorism. 

The heart of IAMI is the concept of the ‘Identity-Attributes-Matrix (IAM)’. It is a 3D construct that encompasses a broad range of multi-modal identity-related attributes, including biometric data, non-biometric identity-related data, and identity-related analytics.

These weighted muti-modal attributes approach – referred to by IAMI as visual, vocal, or textual – enables the facilitation of entity identification and resolution to a broad range of entity types. Entity types like individual persons, such as criminal or terrorist groups, companies, bots, or avatars, according to the specific properties of each investigated case.

Furthermore, IAMI sets the groundwork for effective collaboration and data sharing across European agencies, including international organizations like EUROPOL and INTERPOL. This will be achieved by establishing a new EU-wide IAMI enrolled attributes repository. The attributes repository will be a very high-quality and reliable intelligence source of identity-related intelligence.

As such, IAMI represents a significant step forward in the EU fight against terrorism.