The startup has developed a robotic recycling system that utilizes artificial intelligence to automate the conversion of flat panel display waste into reusable materials. This technology minimizes human interaction, reducing health and safety risks while creating a profitable business line from electronic waste.
Funding
$26M 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
The recycling of flat panel displays (FPDs) presents challenges due to the presence of hazardous materials and the need for efficient separation of valuable components. Traditional manual methods are labor-intensive, pose health and safety risks, and may not maximize material recovery.
Solution
Peregrine Technologies offers automated solutions for e-waste recycling, focusing on flat panel displays and batteries. Their CircularPRO system utilizes robotics and AI vision to automate the depollution, component harvesting, and material separation processes for FPD recycling. The system identifies and removes hazardous materials, recovers valuable components for reuse or recycling, and sorts plastics for efficient recycling. Peregrine Technologies also provides battery recycling solutions using AI-driven optical recognition to sort batteries by chemistry with high accuracy.
Target Audience
The primary target audience includes e-waste recycling facilities, IT asset disposition (ITAD) companies, and electronics manufacturers seeking sustainable and automated recycling solutions.
Features
- <features>
- Robotic and AI-powered automation for flat panel display recycling
- Automated removal of hazardous materials from FPDs
- Component harvesting for reuse and recycling of valuable components
- Material separation of plastics, PMMA, PCBs, aluminum, and copper
- AI-driven optical recognition for battery sorting by chemistry
- Capable of recognizing over 3,000 battery labels
- Reporting capabilities for compliance and operations optimization
- Self-learning capabilities for future battery recognition
- Carbon credit certification for emission reduction activities