RWM: Resource & Waste Management Expo 2026 · 16–17 September 2026

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AMP

AMP is exhibiting at RWM: Resource & Waste Management Expo 2026 (16–17 September 2026, NEC Birmingham, Birmingham, United Kingdom) on stand ME-E224. Listed in the RWM: Resource & Waste Management Expo 2026 exhibitor directory on Beagle. RWM: Resource & Waste Management Expo 2026 is organised by Roar B2B Limited.

Stand
ME-E224
Hall
Machinery & Equipment (ME)
Country
United Kingdom
Address
1st Floor, West Davidson House, Forbury Square, Reading, Berkshire, RG1 3EU, United Kingdom

What they show

About AMP

AMP designs, builds, operates, and services AI-powered sortation systems for waste managers in the public and private sectors. AMP's material identification and advanced automation technology—with hundreds of deployments across North America, Asia, and Europe—enhances the safety and reliability of waste facilities while increasing recovery and landfill diversion. By bringing digital intelligence to recycling, AMP sorts waste streams and extracts value beyond what is otherwise possible. AMP's AI uses deep learning to continuously train itself by processing millions of material images into data. The software uses pattern recognition of colors, textures, shapes, sizes, and logos to identify recyclables and contaminants in real time, enabling new offtake chemistries and capabilities. AMP's first products were a series of sorting robots deployed with minimal retrofit into existing recycling facilities. The company then pioneered a series of next-generation, transformative recycling facilities. With near-zero manual sorting, unprecedented reliability, and pervasive data, these facilities make the recovery of commodities safer and more cost-effective than ever and have grown to encompass municipal solid waste (MSW) sorting, an offering out of reach to the industry prior to the advent of AMP's technology. AMP ONE is the company's highly automated, facility-scale sortation solution. AMP ONE offers a modular design, capable of recovering over 90 percent of target materials, using A

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