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Eight Tech

Eight Tech develops AI-powered resource sorting robots that achieve a 99.3% accuracy rate in waste separation, specifically optimized for Korean waste data. The platform addresses the waste management challenge by significantly increasing recycling rates for plastic waste, effectively enhancing resource circulation.

Incheon, South KoreaFounded 202010100+ followers
Updated 4 months ago

Funding

$12M 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.

Funding rounds are not available yet.

Founders

Product

Problem

Inefficient waste management and manual sorting processes lead to low recycling rates and hinder the effective recovery of valuable resources. Traditional methods struggle to handle the increasing volume and complexity of waste streams, resulting in significant environmental and economic costs.

Solution

Aetech provides AI-powered robotic sorting solutions designed to automate and optimize waste separation in material recovery facilities (MRFs). Their Atron robots utilize advanced AI algorithms trained on a comprehensive dataset of Korean waste to identify and sort materials with high accuracy and speed. By automating the sorting process, Aetech increases recycling rates, reduces labor costs, and improves the purity of recovered materials, contributing to a more circular economy. The robots are designed for seamless integration into existing MRF infrastructure, offering a scalable and cost-effective solution for modern waste management challenges.

Target Audience

The primary target audience includes waste management companies, recycling facilities, and municipalities seeking to improve the efficiency and effectiveness of their waste sorting and recycling operations.

Features

  • AI-powered sorting robots with a 99.3% accuracy rate, optimized for Korean waste composition
  • High-speed sorting capability, processing up to 96 items per minute
  • Utilizes a proprietary AI algorithm trained on 2.6 million data points of Korean waste
  • Integration of AI, hardware, and design for optimal performance
  • Capable of increasing plastic waste recycling rates by up to 2x
This profile is AI-generated and may contain inaccuracies.