Recycling Reimagined
What we do
Bringing recycling into the fourth industrial revolution
Just because something is recyclable doesn’t mean it’s recycled. But we’re changing that with our application of artificial intelligence (AI) to identify and recover recyclables with rates of speed and precision previously unknown to the industry. By digitizing billions upon billions of images, we capture data on a vast array of material, packaging, and container types. And then, we automate the recovery of even the hardest-to-recycle materials, aiding society’s path to a circular economy.
We help businesses, governments, and NGOs achieve higher recycling rates and supply greater volumes of post-consumer recycled content. What was once a contaminant or problematic material destined for landfill now has a path toward recovery and reuse made possible by our advanced technology and systems.
Recycling advances a more circular economy by addressing the burgeoning issue of waste and pollution and keeping products and materials in use. We’re shifting the focus beyond what’s recyclable to what actually gets recycled. In addition to the environmental benefits of an effective recycling system, recycling produces the raw material required for the manufacture of a wide range of products and packaging. Recycling infrastructure like ours safeguards the continuity and vitality of our global supply chain.
Our technology is helping to provide a sustainable workforce for recycling jobs that have been chronically hard to fill. We’re keeping an essential public service running and local businesses operating, while retaining and creating new jobs in manufacturing and other areas of the recycling industry.
Company's story
Matanya Horowitz had been fascinated from a young age by what creates intelligence and how humans became adept at the many things we do, from the way we use our hands to our ability to read, think, and analyze.
What started as an affinity for Transformers, Saturday morning cartoons like The Jetsons, and the robot tales of Isaac Asimov eventually led Matanya to graduate school to study robotics after earning his master’s degree in the same four years as multiple undergraduate degrees at the University of Colorado at Boulder.
While pursuing his doctorate at Caltech, Matanya applied his range of academic experience in the labs of engineers Joel Burdick and John Doyle to help advance robotics and intelligent systems. He was also active in several Defense Advanced Research Projects Agency (DARPA) challenges seeking to develop better control mechanisms for robotic arms, as well as humanoid robots able to perform human-like tasks in dangerous situations, like disable bombs or enter nuclear power plants during emergencies.
These experiences offered Matanya the opportunity to see what was working well in robotics and what remained a challenge—and gave him a deeper appreciation for the sophistication of human behavior. He noted how powerful, and how quickly, computer vision was becoming.
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