The Challenge

MRFs sort mixed recyclables into marketable commodity bales — but most run on limited real-time data, aging equipment, and a shrinking labor pool.

Limited Visibility

Operators can't measure capture and loss in real time; optimization relies on periodic manual audits that go stale as the stream shifts.

Labor Constraints

Manual sort stations are hard to staff and costly to run, and pick consistency varies from shift to shift.

Underutilized Equipment

Optical sorters, screens, magnets, and eddy-current separators are rarely re-tuned to a changing stream, leaving recoverable material in residue.

Built on EverestLabs Vision AI

How EverestLabs helps

The same compact cell, four different jobs — from protecting bale quality to pulling revenue back out of the residue line.

NAVIGATOR

Facility Intelligence

Navigator continuously characterizes the stream, quantifies capture and loss by commodity, identifies contamination and equipment drift, and recommends or automates adjustments across sortation assets — replacing intermittent audits with a single, measured view of facility performance.

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NAVIGATOR · AGENTIC AI

Robotics

Autonomous Recovery

Robotics recovers target materials directly on the line — autonomous high-speed cells that pick with consistent accuracy, retrofit into the existing line, and run under continuous remote monitoring.

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Capabilities & Outcomes

01

Real-Time Stream Characterization

Measured capture and loss, by commodity

02

Automated Equipment Optimization

Sorters, screens, magnets, and ECS tuned to the current stream

03

Robotic Sorting

Higher recovery of PET, HDPE, PP, aluminum, cardboard and fiber

04

Contamination Detection

Improved bale quality and commodity value