# Berkshire Grey

Berkshire Grey is an American robotics and AI company based in Bedford, Massachusetts, specializing in automated pick, pack, and sort systems for e-commerce, retail, and logistics, founded in 2013 by Tom Wagner.

Berkshire Grey, Inc. is an American technology company headquartered in Bedford, Massachusetts, that develops integrated artificial intelligence and robotic solutions for e-commerce, retail replenishment, and logistics. The company's systems automate pick, pack, and sort operations, targeting tasks that were previously performed manually in warehouses and distribution centers.

Founded in 2013 by Tom Wagner, a former chief technology officer of iRobot, Berkshire Grey focuses on applying [artificial-intelligence](https://www.wikiprompt.org/wiki/artificial-intelligence) to physical manipulation and material handling. The company's technology combines sensing, gripping, and motion planning to handle items such as packages, parcels, and consumer goods in dynamic, high-throughput environments.

## Founding and leadership

Berkshire Grey was established by a group of approximately 20 PhDs with expertise spanning embedded systems to [motion planning](https://www.wikiprompt.org/wiki/deep-learning). Tom Wagner, the founder and chief executive officer, previously led technology development at iRobot, a company known for consumer and military robots. The chief scientist is Matthew T. Mason, former director of the Robotics Institute at [carnegie-mellon-university](https://www.wikiprompt.org/wiki/carnegie-mellon-university) and author of two widely cited textbooks on robotic manipulation. Mason received the IEEE Robotics and Automation Award in 2018 for his contributions to the field.

The engineering team includes alumni from other technology and logistics companies, including Uber, Kiva Systems, Tesla, and Carnegie Mellon University. This interdisciplinary background supports the company's approach to integrating [machine-learning](https://www.wikiprompt.org/wiki/machine-learning), computer vision, and mechanical design into commercial systems.

## Technology and products

Berkshire Grey's offerings include robotic systems for picking, gripping, and image sensing. These systems are designed to identify and handle items using advanced vision and grippers that can adapt to varied shapes, sizes, and packaging materials. The company holds more than 300 patents in the area; as of 2024, Insights lists 297 granted patents. Patents cover areas such as robotic manipulation, sortation, and [vision-based control](https://www.wikiprompt.org/wiki/neural-network).

The company's flagship products include the Robotic Product Sortation and Identification system, which autonomously identifies and sorts e-commerce packages. This system was implemented at CEVA Logistics' Vancouver eCommerce facility in March 2021, enabling automated sorting of items without barcode scanning or manual intervention. Berkshire Grey's technology also spans picking and packing for retail replenishment, where it addresses tasks like singulating items from bins or totes.

## Commercial operations and funding

In December 2018, Berkshire Grey announced it had been selling AI-enabled robotics to retailers and logistics providers, automating tasks previously not performed by machines in commercial settings. Customers include Walmart, Target, and FedEx. The company positions its technology as a way for these firms to compete with Amazon, which has invested billions into automation for its fulfillment network.

In August 2019, Berkshire Grey secured $263 million in Series B funding, led by SoftBank Group. This investment supported expansion of its engineering and deployment capabilities.

Berkshire Grey's manufacturing strategy relies on contract manufacturing partners to produce robots, cameras, and conveyor components. The company assembles final systems with its own employees at customer locations, allowing on-site integration and customization. This approach aims to reduce capital costs for clients and streamline installation.

## Public listing and acquisition

In February 2021, Berkshire Grey announced plans to go public through a merger with Revolution Acceleration Acquisition Corp. (RAAC), a special-purpose acquisition company led by former U.S. Representative John Delaney. The deal valued Berkshire Grey at approximately $2.7 billion. The merger completed later that year, and the company's shares began trading on the Nasdaq.

In 2024, Berkshire Grey agreed to be acquired by SoftBank Group Corp. in an all-cash transaction valued at $375 million. The acquisition aimed to combine Berkshire Grey's robotics capabilities with SoftBank's broader investments in [intelligent systems](https://www.wikiprompt.org/wiki/generative-ai) and logistics automation, though the specific strategic plans were not publicly detailed.

## Industry context and outlook

Berkshire Grey operates in the competitive field of warehouse automation, alongside companies like [Amazon's internal robotics efforts](https://www.wikiprompt.org/wiki/amazon-web-services) and other specialized vendors. The firm's focus on AI-driven manipulation differentiates it from traditional material-handling equipment makers. Its systems are used in e-commerce fulfillment, retail distribution, and parcel sorting, sectors that have seen increased demand for automation due to labor shortages and rising order volumes.

As of the mid-2020s, Berkshire Grey continues to deploy systems globally, with its technology emphasizing adaptability over fixed automation. The company's trajectory reflects broader trends in [robotic learning](https://www.wikiprompt.org/wiki/deep-learning) and [autonomous decision-making](https://www.wikiprompt.org/wiki/reinforcement-learning), where advances in [computer vision](https://www.wikiprompt.org/wiki/deep-learning) and [motion control](https://www.wikiprompt.org/wiki/deep-learning) enable machines to handle unstructured tasks.

## External links

- [Wikipedia: Berkshire Grey](https://en.wikipedia.org/wiki/Berkshire_Grey)

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Source: https://www.wikiprompt.org/wiki/berkshire-grey
License: CC BY-SA 4.0 (https://creativecommons.org/licenses/by-sa/4.0/)
Last updated: 2026-09-14T04:21:20.482454+00:00
