At the centre of the collaboration is the AI-based system X.Sort, developed by WeSort.AI. The application enables early detection of lithium-ion batteries in material streams and supports fire prevention in recycling plants. Through Sesotec’s international sales and service network, the system is now available worldwide. The deployment of AI battery detection recycling solutions is intended to reduce operational risks and improve plant availability.
Expansion of AI-supported sorting applications
In addition to battery detection, both companies are extending the use of AI in sorting processes to further material streams, including electronic waste. Deep learning methods are used to analyse heterogeneous input streams and enable targeted separation of specific components. The combination of sensor-based detection, mechanical system integration and AI-supported data processing allows more precise sorting decisions in complex waste streams.
The collaboration integrates Sesotec’s engineering and plant technology with AI-based image recognition and data analysis from WeSort.AI. This approach supports stable system operation and enables data-based optimisation of recycling processes.
Partnership model and industry relevance
Both companies remain independent while combining their technological competencies within a joint development and market approach. The partnership focuses on advancing AI battery detection recycling technologies and related applications in order to support safer and more efficient material recovery processes.
The increased availability of AI-supported sorting systems contributes to improved fire protection, more stable operations and enhanced resource recovery in the recycling sector.
