Using a combination of data and machine learning our technology builds a digital twin, or virtual copy, of the waste landscape in cities. This forms the basis for optimizing the process.
Our digital twin helps waste collectors and recycling companies better understand where what waste is expected. In combination with the optimization algorithms this helps find the most effective ways of upcycling the collected streams into new raw materials.
With the digital twin we connect all players in the waste process to facilitate the move to a circular way of working: what is waste for one, can be (made into) a valuable raw material for another.
How can the collected waste stream best be recycled? What route to drive to pick up and drop off the waste streams most effectively? How can the quality of the waste be best maintained? Our tools give you full insight into the most optimal valorisation of the various waste streams.