Imagine a global flight simulator, but for people dealing with dangerous chemical leaks or biological outbreaks. It uses VR headsets and AI to teach first responders how to use the latest detection tools without being in actual danger. The goal is to create a gold standard for training and a digital catalog of the best gear available.
First responders lack standardized, modern training for chemical and biological threats, and there is no central benchmark to verify if new detection tools actually work in the field.
The 'eNOVATION Cube' web application, which uses an ontology-driven process to match training needs with validated technologies.
If you are a gear manufacturer dealing with slow market adoption — this project developed a network of training centres that evaluates on-site emerging tools. This provides a direct path for your detection and decontamination tech to be labeled as successful and recommended to first responders.
If you are a software firm dealing with a lack of real-world data for emergency simulations — this project developed AR/XR and AI-supported training methods. You can integrate these validated methodologies into your commercial training products for government clients.
If you are a healthcare provider dealing with inefficient emergency stockpiles — this project developed an assessment of stockpile mobilisation for hospitals in CBRN CoE partner countries. This helps optimize how critical supplies are moved during a crisis.
Based on available project data, there is no pricing information provided for the web application.
The project scales through a network of 22 partners across 16 countries, including centers in Morocco, Uzbekistan, Georgia, and Armenia.
Based on available project data, the project focuses on pre-normative research and labeling successful technologies, but specific licensing terms are not listed.
It focuses on creating CBRN standards for technologies and training methodologies to improve first responder response.
The project period runs from 2024-09-01 to 2027-08-31.
The consortium is heavily weighted toward public and academic interests, featuring 7 universities and 7 research organizations. With 0% industry ratio and only 4 SMEs among 22 partners, the project is primarily driven by government and research entities rather than commercial enterprises, suggesting a focus on standardization and policy over immediate product commercialization.
Contact the Service Public Federal Interieur in Belgium
Contact us to identify which of the 22 partners holds the specific AI or XR training IP.
