Nsort

Our business idea is to modernise and scale recycling infrastructure through AI and robotics. We aim to enhance resource productivity by improving identification and sortation efficiency using AI-based computer vision and robotics. We aim to advance the circular economy by optimising the reuse of resources and reducing landfills. 

The Team

Daniel Layeghi

Caleb Yip

Mohammadreza Kasaei

About Us

Our team, which consists of a PhD student and an associate researcher at the University of Edinburgh, and an MBA from the University of Chicago, has extensive experience in corporate and academic environments. These experiences range from publications in leading robotics and machine learning journals and conferences, growing a robotics startup, Automata Technologies, to multimillion round fundings and operational and strategy experiences in multinational corporations such as Apple and JPMorgan.Mohammad is an avid weightlifter and a big fan of classical Persian literature. Caleb is a father and husband first and, if the weather permits, Daniel's tennis partner.

Problem

Close the operational efficiency gap in the recycling industry through AI and robotics.

Solution

Our solution involves an AI-based sorting, identification, and analytics stack, enabling improved waste recycling by integrating with existing recycling facilities.

Market

AI and robotics can be embedded in the operations of our potential customers, including UK waste management companies with recycling operations and materials recovery facilities (MRFs), where mechanical sorting occurs. The UK Material Recovery market commands £7.4bn and has 1500 businesses. With public interest and government pressure, demand for MRFs will grow. Industry consolidation and AI investment are expected as companies scale for capacity.

Contact

Nsort website