CAJA Robotics

About CAJA Robotics

Caja Robotics, established in Israel in 2014, provides a goods-to-person (G2P) robotic solution designed to enhance the operational efficiency of warehouses. The company was founded by a team with deep roots in logistics and e-commerce, including Dr. Ilan Cohen, Guy Glass, Reuven Della-Torre, Tamar Ingber, and Avi Lifshitz. Founder Guy Glass's journey began from his experience as a software engineer and e-commerce pioneer in Israel, where he co-founded and managed the technology and operations for a large online fashion company. Facing challenges in order fulfillment, he sought a flexible and scalable automation solution, which led to the conception of Caja Robotics. The founding team combined their expertise in software, robotics, and real-world warehouse operations to create their system.

The company's business is centered on automating warehouse logistics for clients primarily in the e-commerce, grocery, and third-party logistics (3PL) sectors. Its business model involves deploying a robotic system that adapts to a client's existing warehouse infrastructure, such as shelving, flooring, and layout, thereby minimizing the need for significant capital investments in facility retrofitting. The system is designed to increase order picking productivity and storage capacity. The company generates revenue by providing its comprehensive robotic fulfillment solution, which includes the hardware and a cloud-based software system. By 2020, the firm had successfully raised a total of $26 million in funding, with a notable Series B round of $12 million led by New Era Capital.

Caja Robotics' core offering is a dual-robot system managed by an AI-powered software platform. This system consists of two distinct types of robots: a 'lift' robot and a 'cart' robot. The lift robots are responsible for vertical storage optimization, retrieving bins from high shelves and managing inventory replenishment. The cart robots then transport these bins horizontally from the storage area to human-operated picking stations. This collaborative approach is orchestrated by a sophisticated, cloud-based software that handles navigation, fleet management, and inventory optimization using advanced algorithms and machine learning. A key feature is the system's ability to be deployed in existing warehouses, including those with varying ceiling heights and layouts, and integrate with a customer's existing Warehouse Management System (WMS). The solution has demonstrated tangible benefits, such as increasing storage capacity by 50% and boosting order line throughput by 40% for clients like Bergen Logistics.