CounteR

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This project received funding from the European Union’s Horizon 2020 program (No. 101021607) to develop a privacy-first situational awareness platform for terrorism prevention, crime prediction, and public safety.

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36 months

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$7 mil.

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Horizon 2020

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Solution

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Integrated situational awareness system

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Potential uses

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Law enforcement agencies, Governmental agencies

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Challenge

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Detection of online radical content

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Consortium

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The CounteR consortium brings together leading international experts in counterterrorism, radicalisation prevention, and privacy law, along with one ISP, six European law enforcement agencies with in-field expertise, and a network of technical SMEs and academic partners.

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AI for Prevention and Protection

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With rapid technological advancement, the threat of radicalization and terrorism has increasingly moved online, using digital platforms to spread extremist ideologies. Addressing this challenge requires innovative counter-terrorism software solutions that detect and prevent radical content while maintaining strong standards of privacy and ethical compliance.

The CounteR project, funded by the European Union’s Horizon 2020 program and coordinated by ASSIST Software, marks major progress in countering online radicalization. Its goal is to equip European law enforcement agencies, internet providers, and social media platforms with an AI-powered early-warning tool for detecting radical or extremist content online.

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Intelligent features

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Leveraging the consortium’s diverse expertise and cross-sector collaboration, the CounteR project developed advanced AI software to detect, track, and prevent online radicalization and extremist content through AI, data analytics, and multilingual processing.

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What we worked on:
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Early-warning tool & Correlation engine

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Support LEAs in detecting and linking potential radical content. 

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Data collection & Big Data pipelines

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Aggregates data from diverse online and social sources.

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AI integration & Machine Learning algorithms

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Uses advanced AI models for content detection and prediction. 

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Cloud infrastructure & integration 

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Delivers scalable, secure, cloud-agnostic deployment.

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Multilingual approach

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Analyzes content in 10+ European and global languages.

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Social media analysis 

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Identifies narratives and promotes prevention over surveillance.

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NLP Classifiers & Reinforcement learning

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Improves automated analysis and adaptive decision-making.

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Dashboards & customization

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Provides interactive, customizable insights for LEAs.

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Shaping the future with proven technology

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We use a modern tech stack to build secure, high-performance web and mobile applications designed for scalability, seamless user experience, and cross-platform reliability.

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Technical advancements

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ASSIST Software serves as the project coordinator and technical partner, leading the integration of information technology, AI development, and data analytics expertise. Our team consolidated diverse data sources into a unified, scalable platform designed for data mining, predictive analysis, and actionable insights across sectors.

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What we worked on:
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Deployment flexibility

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Our solution was built as a cloud-agnostic web platform, that can be deployed on LEA premises securely connected to internal databases, ensuring adaptability and reliability.

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Extensive coverage

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CounteR is used to scrape content from social media and all other type of online sources by processing multi-model content, meaning, text, images, videos in an efficient way.

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Advanced detection

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Using Social Network Analysis (SNA), the system identifies radicalization hotspots, key nodes, and online communities, improving threat detection and proactive prevention.

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Project goals

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The consortium unites academic institutions, data science experts, and ethical and legal consultants to develop a comprehensive counter-radicalization tool. Upholding ethical AI standards and full GDPR compliance, CounteR meets the operational and data protection needs of European law enforcement agencies.

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LEAs validated the tool and use it in their activities. It helps detect and address radicalization hotspots, enabling smarter monitoring and interventions.

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The project’s outcomes are expected to inform EU policy through practical guidelines on data privacy, ethics, and GDPR-aligned pseudonymization.

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Beyond LEAs, the NLP features support Internet Service Providers and Content Management Platforms, improving accuracy and moderation.

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From product design to development & completion. We guarantee exceptional products.

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Section Name
Inside Paragraphs
Block Reference
Contact
Promoted Image
Internet security badge
Application Types
Sub Services
Main Activities
Customer/Partner Country
Year
2024
Background Color
#f6f9ff
OG image
OG CounteR
Order
3
Short Description

Fighting against radicalisation alongside European and US Security agencies by employing top NLP techniques and machine learning.

Show On Homepage
Yes
Sub Industries
Intro Description

AI Technology for Safer Digital Environments

Card Country
Card Industry
Show Read More
Yes
Project Overview Title
Own Product
Is EU Project
Yes
Has all fields translated
Yes