Speaker Bio


Matanya Horowitz

Matanya Horowitz

CEO, AMP Robotics

Dr. Matanya Horowitz is the founder and CEO of AMP Robotics, an industrial artificial intelligence (AI) and robotics company applying automation to modernize recycling and enable a world without waste.

Horowitz developed and commercialized AMP’s breakthrough AI platform, AMP Neuron™, and robotics system, AMP Cortex™, which automates the identification and sorting of recyclables from mixed material streams. AMP’s AI platform continuously trains itself by recognizing different colors, textures, shapes, sizes, patterns, and even brand labels to identify materials and their recyclability. Neuron then guides robots to pick and place the material to be recycled. AMP’s technology recovers recyclables from municipal waste, precious commodities from electronic waste, and high-value materials from construction and demolition debris at superhuman speeds with extremely high accuracy.

Horowitz was named one of MSW Management’s Innovators of 2021 and to the 2021 “Grist 50,” and Fast Company recognized him as one of 2020’s “Most Creative People in Business. Waste360 named Horowitz its “2019 Innovator of the Year,” and included him on its annual “40 Under 40” list. Under his leadership, AMP has received numerous awards and international recognition, including CNBC’s “Disruptor 50,” Fast Company’s “World’s Most Innovative Companies” and “World-Changing Ideas,” Forbes "AI 50," Fortune’s “Impact 20,” an Innovation Award from Robotics Business Review, Cleantech Group’s 2021 Cleantech 100 and 2020 “Rising Star Company of the Year” award, The Circulars 2018 Award for “Circular Economy Top Tech Disruptor” at the World Economic Forum in Davos, and the National Waste and Recycling Association’s “2017 Innovator of the Year” award.

Horowitz earned four bachelor’s degrees, in electrical engineering, computer science, applied mathematics, and economics, along with a master’s degree in electrical engineering, from the University of Colorado at Boulder. He holds a doctorate in control and dynamical systems from the California Institute of Technology, with publications and research in control theory, path planning, and computer vision.