Case Study: AMP Robotics achieves 95%+ label accuracy and 3x project capacity with CloudFactory

Making recycling easy with reliable annotation quality control

AMP Robotics (AMP), a leader in recycling technology, needed high-quality annotated data to train its AI sorting systems but outgrew its small internal team and found temporary annotators unreliable. To scale without sacrificing quality, AMP engaged CloudFactory and its Computer Vision Managed Workforce to handle labeling and quality control.

CloudFactory led QC reviews, vetted model outputs, and helped define new label sets, bringing stable, veteran oversight and process improvements. The partnership grew labels from 20 to 50, delivered 95%+ labeling accuracy, increased monthly project hours 3x and label classifications 2.5x, and enabled AMP to feed review‑level data directly into its neural networks — accelerating scale and entry into new industries.

AMP

Ben Clint

Robotics Data Acquisition Manager