RecycleTech develops intelligent systems that identify, sort, and analyze waste materials in real time, helping cities and organizations improve recycling efficiency and generate actionable waste insights
RecycleTech is a technology company focused on transforming recycling systems through AI, automation, and data intelligence. We work with governments, industry partners, and technology providers to develop scalable solutions that modernize recycling infrastructure and improve material recovery. Operating as a global team, we maintain a presence in the United States and Southeast Asia.
To make recycling more efficient, scalable, and data-driven through AI-enabled infrastructure.
A world where waste is intelligently sorted, fully traceable, and efficiently recycled.
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SORT-E™ is an AI-powered recycling system that improves waste separation at the moment an item is discarded. Using computer vision, artificial intelligence, and automated mechanical sorting, the system identifies materials in real time and directs them into the appropriate recycling stream.
By separating materials earlier, SORT-E reduces contamination and improves recycling efficiency.
SORT-E™ can be configured to sort multiple recycling streams and adapted to recognize additional waste categories depending on deployment needs.
Bottles, containers, and packaging.
Paper, cardboard, and mixed paper products.
Aluminum cans and tins.
Bottles and jars.
Integrated cameras capture item images before they enter the system.
Computer vision models instantly determine the material type.
A rotating mechanical tray aligns and drops the item into the correct designated bin.
SORT-E is designed to achieve high material identification accuracy through continuously improving AI models trained on large-scale waste datasets.
Computer vision identifies waste materials instantly.
Integrated cameras and sensors detect items as they are discarded.
Mechanical systems direct materials into the correct recycling streams.
Visual cues help users dispose of items correctly.
Sorting waste early keeps materials uncontaminated and improves their recycling value.
Early separation reduces the complexity and cost of downstream sorting operations.
Data analytics provide visibility into waste streams, including material types, quantities, and disposal patterns.
Recycling insights help organizations and municipalities develop more effective waste management strategies and environmental programs.
Visual guidance helps users dispose of items correctly, making recycling easier and more intuitive
SORT-E™ systems can support recycling programs across a variety of environments, including:
Interested in a pilot project? Get in touch with our team.
