EverestLabs provides a suite of AI software and on-premises hardware that identifies objects on conveyor lines and routes them to the correct destinations. The company also sells a monitoring service with engineers who track pick efficiency and accuracy and provide maintenance assistance for existing robotic sorting machines. Its object-recognition algorithms were trained on proprietary datasets, customer data and third-party sources, and the company says its AI was audited by a local city-run plant and an independent auditor. EverestLabs has customer deployments in North America, including SIMS Sunset Park, and counts Recology, Alameda County Industries and Smart Station among customers while targeting global expansion. The startup declined to comment on revenue but says it has significant momentum and is on track to roughly double its 13-person headcount by the end of the year. Proceeds from recent fundraising will be used to support ongoing sales, operations and product development. EverestLabs develops computer vision and robotic solutions that identify and pick valuable recyclables from conveyor belts at material recovery facilities. Their robots feature a differentiated technology with a much smaller physical footprint, enabling easier, faster and lower-cost retrofits into existing plants. The company has signed large customers in early stages to validate product-market fit. EverestLabs emphasizes industry-leading efficiencies and an attractive price point versus incumbent systems. Its solutions address acute labor shortages, high labor costs, and worker safety concerns in waste sorting operations. With global regulatory pressure to improve recycling and reduce carbon footprints, the company is positioned to scale demand for plant automation solutions.

Total raised

$16M

Funding rounds

2

Latest round

Series A

Latest activity

Sep 2022