Unified AI platform enabling real-time decision-making across sorting systems

Combines computer vision, machine learning, and closed-loop optimisation

Designed to improve material detection, system efficiency, and reporting

Supports adaptation to changing and complex waste streams

MIND™ represents a shift from equipment-level automation toward fully integrated system intelligence. The platform connects multiple units within a facility, allowing operators to manage performance, optimise processes, and respond to operational variability in real time.

Alongside the platform, Machinex is introducing MIND AirPulse™, an AI-driven pneumatic sorting system designed for recovery and quality control. The system translates data-driven decisions into high-speed sorting actions, delivering performance levels significantly above manual sorting.

MIND™ is integrated across the company’s AI-enabled equipment portfolio, including robotic, optical, and vision-based systems, forming a unified ecosystem for material recovery facilities (MRFs).

Chris Hawn, CEO of Machinex:

“Recycling is moving beyond standalone automation toward intelligent, connected systems. MIND™ enables operators to gain deeper insight, improve performance, and make faster, more informed decisions.” The platform addresses growing industry demands for higher purity, operational efficiency, and traceability, providing actionable insights across the entire recycling process.

Developed and deployed in operational facilities since 2019, MIND™ consolidates several years of applied AI development into a single platform, reflecting Machinex’s long-term approach to innovation in recycling technologies.