Traditional recycling systems rely primarily on visual or near-infrared sorting. Identinano’s nanoAI technology goes beyond surface-level detection by analyzing material properties at a deeper level. By integrating nanoscale sensing with advanced AI, our system can distinguish between complex material compositions — including recycled vs. pristine or black type A vs. black type B plastics, various metals (including distinguishing steel grades), glasses (detecting various hardness / thermal treatment / ion implantation), cardboards and other packaging and e-waste materials — with exceptional accuracy and all on fully shredded matter.
This enables:
Identinano’s intelligent sorting platforms are powered by real-time data processing and adaptive AI models. The system continuously learns and improves, optimizing sorting decisions based on material flows and operational conditions.
The result is:
High-quality recycling depends on precise material separation. Identinano’s nanoAI technology supports the transition from downcycling to true closed-loop recycling by enabling cleaner material streams suitable for high-value reuse.
By improving identification at the molecular and compositional level, we help recyclers, producers, and waste management companies unlock greater value from waste — reducing landfill dependency and lowering environmental impact.
Our solutions are designed for integration into industrial sorting facilities and next-generation recycling plants. Whether upgrading existing infrastructure or building new AI-powered systems, Identinano provides scalable technology tailored for modern material challenges.