Building the future
of recycling

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COMPUTER VISION TRASH CLASSIFICATION WASTE TRACKING AI INSIGHTS COMMUNITY ENGAGEMENT DATA-DRIVEN

Making recycling
accessible for all

ReLoop deploys high-fidelity computer vision to categorize materials in real time, helping people understand what they can recycle and how to recycle it.

1

Waste Classification

Using ResNet50 architecture, ReLoop can classify waste into 7 material streams with 99.8% precision in under 50ms.

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2

Waste Analysis

Using RAG and AI insights, ReLoop can analyze waste streams and provide users with personalized recommendations for how to recycle their waste.

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THE VISION

Recycling together
for a better
planet.

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Recycling is a community effort. We believe in empowering communities to recycle better through shared goals and incentives.

The Recycling Ecosystem

All the tools you need to recycle better

The Core: AI-native Waste Intelligence

Our custom-trained convolutional neural networks categorize items in under 50ms, ensuring zero-latency sorting for the everyday user.

AI-powered insights

ReLoop's AI-native architecture provides insights into waste streams and helps users recycle better.

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Sustainable Efficient

Waste Tracking

Helping users track their trash habits over time with neural persistence.

Community Empowerment

Empowering neighborhoods to recycle better through shared goals and real-time incentives.

Reshaping Global Material Recovery

99.8%
Model Accuracy

99.8% accuracy on out-of-sample data.

7
Materials

Cardboard, Compost, Glass, Metal, Paper, Plastic, Trash

<50ms
Neural Latency

Classify materials with speed and accuracy

100%
Community Engagement

Engage with your community and track your recycling progress