ROXANNE Project: Latest News


ROXANNE (Real time network, text and speaker analytics for combating organized crime) is a research project funded by the European Union with the main goal to develop an interactive AI platform combining advanced text, speech, and language technologies and network analysis. The ROXANNE project fully complies with the European legal framework and ensures that both privacy and individual rights are well respected.

In the ROXANNE consortium, Law Enforcement Agencies, industry and academia, are joining forces to not only improve and assist police investigations but also to speed up investigative processes and support LEA decision-making. The project consortium is comprised of 24 organisations from 16 countries, out of which 11 are law enforcement agencies. As one of the partners, HENSOLDT Analytics contributes to the project providing its expertise in the field of speech and language processing technologies.

Despite the COVID-19 pandemic spreading over the globe, ROXANNE project is progressing steadily, imposing all the possible mitigation measures to overcome any drawbacks from the coronavirus outbreak:

  • The first of the three series Field Test events, demonstrating the first version of the ROXANNE platform’s capabilities to more than 90 representatives from the law enforcement, technology experts, policymakers and research community from all over Europe was successfully conducted
  • The first version of the ROXANNE platform has been already installed by technical partners and LEAs on their premises
  • The project took the next step towards integrating information across various data sources such as heterogeneous criminal networks.

To find out more about the latest news and progress of the project, please access ROXANNE´s latest newsletter here

HENSOLDT Analytics
HENSOLDT Analytics

HENSOLDT Analytics is a global leading provider of Open Source Intelligence (OSINT) systems and Natural Language Processing technologies, such as Automatic Speech Recognition, which are key elements for media monitoring and analysis.