Trashify utilizes AI-powered computer vision to enhance waste tracking and analytics in recycling operations, providing precise data on material composition and flow. This technology enables facilities to optimize sorting processes, improve worker efficiency, and increase revenue through real-time performance insights.
Funding
$650K raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Founders
Product
Problem
Recycling facilities often lack comprehensive data on the composition and flow of materials, hindering their ability to optimize sorting processes and improve overall efficiency. Manual data collection is labor-intensive, prone to errors, and struggles to provide real-time insights into waste stream dynamics.
Solution
Trashify offers an AI-powered computer vision system designed to provide waste tracking and analytics for recycling operations. The system analyzes waste streams using visual data to identify material composition, track waste flow, and provide real-time performance insights. By automating data collection and analysis, Trashify enables facilities to optimize sorting processes, improve worker efficiency, and increase revenue through enhanced material recovery. The platform provides a user-friendly analytics dashboard to monitor key waste metrics and identify trends for strategic decision-making.
Target Audience
Trashify targets recycling facilities and waste management companies seeking to improve the efficiency and accuracy of their sorting processes through AI-driven data analytics.
Features
- AI-powered computer vision for identifying and categorizing waste materials on sorting lines
- Real-time data on material composition, including plastics (PET, PVC, LDPE, HDPE, polystyrene), paper, glass, metal, and wood
- Analytics dashboard providing insights into waste trends, material flow, and sorting line performance
- Automated data collection, reducing the need for manual tracking and data entry
- Alerts for boosting recovery and worker efficiency
- Easy retrofitting across existing sorting lines