Available Circular Economy Features
Missing Circular Economy Features
Pricing
Starting Price
Options
Available Since
Deployment Options
Good Option For
Deep dive
Core Features
AI-Based Waste Identification: Recycleye uses computer vision models to identify and classify waste items on sorting lines by material type and object category.
Real-Time Sorting Intelligence: The platform provides near real-time feedback on waste composition and sorting accuracy, enabling operators to identify inefficiencies and contamination issues.
Robotic & Vision Integration: Recycleye integrates with sorting equipment and robotic systems to support automated or assisted waste sorting decisions.
Material Recovery Performance Analytics: The software quantifies capture rates, contamination levels, and missed recyclable materials across sorting lines and facilities.
Recycling Quality & Yield Insights: Operators gain insight into output quality, residue streams, and value loss, helping optimise sorting strategies.
Dashboards & Reporting: Custom dashboards visualise sorting performance, material flows, and trends over time for operational and management teams.
Scalable Facility Deployment: Designed for deployment across multiple sorting lines and facilities with consistent analytics and benchmarking.
Plans & Pricing
Recycleye is offered as a subscription-based SaaS platform, typically combined with camera hardware and optional robotic integration. Pricing is not publicly disclosed and depends on:
Number of sorting lines
Hardware configuration
Data resolution and analytics modules
Integrations
Recycleye integrates with:
Conveyor belt and sorting line hardware
Optical sorting and robotic systems
Facility analytics and reporting tools
Integrations focus on sorting intelligence, not waste collection or logistics.
Certifications & Awards
Recycleye has received recognition within the AI and recycling technology ecosystem, including innovation awards related to waste sorting and circular economy solutions. Public information on formal ISO certifications is limited.
Expert Voices & Reviews
Industry experts often cite Recycleye as a key enabler of higher-quality recycling, particularly for facilities seeking to reduce contamination and increase material purity using AI-driven insights.
Customers & Case Studies
Recycleye is used by:
Recycling and material recovery facilities (MRFs)
Waste management operators
Sorting technology providers
Case studies typically focus on improved sorting accuracy, reduced contamination, and increased value recovery.
Closing Insights
From a Net Zero Compare perspective, Recycleye is best positioned as a specialised AI waste sorting and analytics platform. Its strength lies in real-time material intelligence and sorting optimisation, not waste operations, compliance, or ESG reporting.