Overview
A technology startup focused on improving security for public spaces and critical infrastructure has secured £11.3 million in seed funding. The investment will support the rapid deployment of an artificial intelligence platform designed to help governments and organisations detect threats and respond to incidents more effectively.
The funding round was led by venture capital firm Plural, with participation from several other investment firms that support emerging technology companies.
AI Platform Designed for Public Safety
The company has developed an artificial intelligence system that connects with existing security cameras and sensor networks already installed across infrastructure sites. These systems are commonly used in locations such as transport hubs, energy facilities, stadiums and research centres.
Instead of requiring entirely new hardware, the platform analyses data collected from existing cameras and sensors to identify unusual activity and potential threats.
Real Time Threat Detection
Using machine learning models, the technology studies behavioural patterns and movement across monitored spaces. The system can detect abnormal activity, link events across multiple locations and reconstruct incidents within seconds.
This capability allows security teams to respond quickly to emergencies and coordinate their actions more effectively. The technology also assists investigators by providing detailed information about incidents after they occur.
Focus on Privacy and Regulation
Developers emphasise that the platform does not rely on facial recognition technology. Instead, it analyses anonymised behavioural patterns to maintain privacy while still identifying potential security risks.
This approach helps ensure the technology can operate within strict privacy regulations while still improving safety in public environments.
Funding to Support Expansion
The newly raised capital will help expand the company’s operations and accelerate deployment of the platform across Europe. Governments and infrastructure operators are increasingly looking for advanced monitoring systems as concerns grow about sabotage, cyber attacks and other security threats targeting public infrastructure.
The company also plans to expand its research and development efforts to improve the accuracy of its artificial intelligence models and integrate with additional sensor technologies.
Conclusion
The new investment highlights growing interest in artificial intelligence tools designed to strengthen security and protect essential infrastructure. As threats to public spaces continue to evolve, advanced monitoring technologies may play a key role in helping organisations detect risks earlier and respond more effectively.
