AI-powered sorting systems for recycling facilities and waste operations
AMP deploys machine-vision and robotics sortation systems into material recovery facilities across North America, Asia, and Europe. The tech stack (Python, FastAPI, React, GCP, Kubernetes) reflects a software-first approach to hardware deployment, while active projects signal a scaling phase: they're commissioning new facilities, implementing operational systems, and building cloud analytics tooling alongside core AI development. Hiring is operations-heavy (5 ops, 3 engineering), indicating a company managing multiple facility deployments rather than purely R&D-focused.
Notable leadership hires: Chief Operating Officer
AMP applies machine learning and computer vision to automate sortation workflows in recycling and waste management facilities. The company reduces labor costs and improves resource recovery by deploying AI-powered sorting systems that handle the physical separation of materials at scale. With deployments across multiple geographies, AMP operates both as a software vendor (cloud platform for monitoring and optimization) and a systems integrator responsible for facility commission and startup. Current priorities include scaling material recovery facility operations, optimizing facility configurations, and improving operational reliability across existing installations.
AMP's stack includes Python, FastAPI, React, GCP, Kubernetes, Docker, and Salesforce. The mix of containerization (Docker/Kubernetes) and cloud infrastructure (GCP/Terraform) supports distributed facility deployments.
AMP is headquartered in Louisville, Colorado and founded in 2015. The company currently operates 51–200 employees across the United States.
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