CounteR logo

AI Technology for Safer Digital Environments

Security

Starting point

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.

Horizon 2020

Services

AI/ML & Data Engineering
Cloud & Backend Engineering
Cloud Architecture
Digital Product Strategy
SecOps
36 months

Timeline

$7 mil.

Budget

Horizon 2020

Funding framework

Solution

Integrated situational awareness system

Potential uses

Law enforcement agencies, Governmental agencies

Challenge

Detection of online radical content

Consortium

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.

ASSIST logo
Insikt logo
Imagga logo
Icon logo
Cini logo
Inria logo
ELTE logo
UNICATT logo
Malta IT Law logo
EU institute
Savoirs logo
Eticas logo
NOVA logo
PJUDI logo
HFOED logo
Valsts logo
PGS logo
Judicial Ukraine
Business Context image

AI for Prevention and Protection

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.

Intelligent features

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.

Intelligent features

What we worked on:

Round check fill icon
Early-warning tool & Correlation engine

Support LEAs in detecting and linking potential radical content. 

Round check fill icon
Data collection & Big Data pipelines

Aggregates data from diverse online and social sources.

Round check fill icon
AI integration & Machine Learning algorithms

Uses advanced AI models for content detection and prediction. 

Round check fill icon
Cloud infrastructure & integration 

Delivers scalable, secure, cloud-agnostic deployment.

Round check fill icon
Multilingual approach

Analyzes content in 10+ European and global languages.

Round check fill icon
Social media analysis 

Identifies narratives and promotes prevention over surveillance.

Round check fill icon
NLP Classifiers & Reinforcement learning

Improves automated analysis and adaptive decision-making.

Round check fill icon
Dashboards & customization

Provides interactive, customizable insights for LEAs.

Shaping the future with proven technology

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.

Python logo
React logo
Quarkus logo
Scala logo
Typescript logo
Java logo
MongoDB logo
Hadoop logo

Technical advancements

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.

What we worked on:

Round check fill icon

Deployment flexibility

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.

Round check fill icon

Extensive coverage

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.

Round check fill icon

Advanced detection

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

Project goals

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.

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

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

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

Scalable, secure and streamlined solutions for your business success

For business inquiries:

+40-230-521100

icon main logohello@assist.ro

Our address:

1 Tipografiei Street 720043, Suceava, Romania

Frequently Asked Questions

1. Can you integrate AI into an existing software product?

Absolutely. Our team can assess your current system and recommend how artificial intelligence features, such as automation, recommendation engines, or predictive analytics, can be integrated effectively. Whether it's enhancing user experience or streamlining operations, we ensure AI is added where it delivers real value without disrupting your core functionality.

2. What types of AI projects has ASSIST Software delivered?

We’ve developed AI solutions across industries, from natural language processing in customer support platforms to computer vision in manufacturing and agriculture. Our expertise spans recommendation systems, intelligent automation, predictive analytics, and custom machine learning models tailored to specific business needs.

3. What is ASSIST Software's development process?  

The Software Development Life Cycle (SDLC) we employ defines the stages for a software project. Our SDLC phases include planning, requirement gathering, product design, development, testing, deployment, and maintenance.

4. What software development methodology does ASSIST Software use?  

ASSIST Software primarily leverages Agile principles for flexibility and adaptability. This means we break down projects into smaller, manageable sprints, allowing continuous feedback and iteration throughout the development cycle. We also incorporate elements from other methodologies to increase efficiency as needed. For example, we use Scrum for project roles and collaboration, and Kanban boards to see workflow and manage tasks. As per the Waterfall approach, we emphasize precise planning and documentation during the initial stages.

5. I'm considering a custom application. Should I focus on a desktop, mobile or web app?  

We can offer software consultancy services to determine the type of software you need based on your specific requirements. Please explore what type of app development would suit your custom build product.   

  • A web application runs on a web browser and is accessible from any device with an internet connection. (e.g., online store, social media platform)   
  • Mobile app developers design applications mainly for smartphones and tablets, such as games and productivity tools. However, they can be extended to other devices, such as smartwatches.    
  • Desktop applications are installed directly on a computer (e.g., photo editing software, word processors).   
  • Enterprise software manages complex business functions within an organization (e.g., Customer Relationship Management (CRM), Enterprise Resource Planning (ERP)).

6. My software product is complex. Are you familiar with the Scaled Agile methodology?

We have been in the software engineering industry for 30 years. During this time, we have worked on bespoke software that needed creative thinking, innovation, and customized solutions. 

Scaled Agile refers to frameworks and practices that help large organizations adopt Agile methodologies. Traditional Agile is designed for small, self-organizing teams. Scaled Agile addresses the challenges of implementing Agile across multiple teams working on complex projects.  

SAFe provides a structured approach for aligning teams, coordinating work, and delivering value at scale. It focuses on collaboration, communication, and continuous delivery for optimal custom software development services. 

7. How do I choose the best collaboration model with ASSIST Software?  

We offer flexible models. Think about your project and see which model would be right for you.   

  • Dedicated Team: Ideal for complex, long-term projects requiring high continuity and collaboration.   
  • Team Augmentation: Perfect for short-term projects or existing teams needing additional expertise.   
  • Project-Based Model: Best for well-defined projects with clear deliverables and a fixed budget.   

Contact us to discuss the advantages and disadvantages of each model. 

ASSIST Software Team Members