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Everestlabs.AI

EverestLabs.AI develops an AI-driven robotics platform that automates the sorting of recyclables in materials recovery facilities, enhancing operational efficiency and recovery rates. By capturing and analyzing object-level data, the technology reduces labor costs and increases the recovery of valuable materials, such as aluminum cans, from the waste stream.

Fremont, United StatesFounded 2018383K+ followers
Updated 20 months ago

Funding

$26.1M 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

Materials recovery facilities (MRFs) face challenges in efficiently sorting recyclables, leading to loss of valuable materials and increased labor costs. Inconsistent sorting can result in lower revenue and reduced recovery rates of materials like aluminum, plastics, and fiber. Traditional methods often struggle to adapt to the evolving mix of materials in the waste stream.

Solution

EverestLabs provides an AI-driven robotics platform, RecycleOS, that automates and optimizes the sorting process in MRFs. The platform captures object-level data at various points in the recycling stream, providing insights into plant performance and material composition. By using AI-powered robots, the system increases the recovery of valuable recyclables, reduces reliance on manual labor, and improves the purity of sorted materials. The platform also offers features for bale tracing and auditing, enabling better supply chain management and compliance with recycling regulations.

Target Audience

The primary target audience includes materials recovery facilities (MRFs), recyclers, and packaging manufacturers seeking to improve operational efficiency, increase revenue, and boost recycled content.

Features

  • AI-powered robotic sorters for automated material separation
  • RecycleOS platform for real-time data analytics and performance monitoring
  • Material characterization to understand the composition of incoming and outgoing materials
  • Plant equipment optimization to maximize recovery rates at each processing line
  • Bale tracing and auditing to quantify bale quality and track materials across the supply chain
  • Municipal and Extended Producer Responsibility (EPR) compliance tools for measuring recovery rates
  • Last chance recovery solutions to capture valuable mis-sorted recyclables
  • Quality control automation to improve the consistency and purity of sorted materials
This profile is AI-generated and may contain inaccuracies.