RightHand Robotics vs Adept AI

Side-by-side comparison of AI visibility scores, market position, and capabilities

RightHand Robotics

EmergingRobotics

Piece Picking Automation

RightHand Robotics builds piece picking robots for warehouse fulfillment that use multi-modal sensing and AI to reliably pick individual items from totes and place them into shipment containers.

About

RightHand Robotics is a warehouse robotics company founded in 2015 as a spinout from Harvard Biodesign Lab, raising $66M to build piece picking robots for retail and e-commerce fulfillment. The company's RightPick system uses a multi-fingered robotic hand with tactile, vision, and force sensing alongside machine learning to perceive and grasp individual items from storage totes and place them into shipment packaging. The robot handles a wide range of product types including soft goods, irregularly shaped items, and polybag-wrapped products that are difficult for suction-only grippers. RightHand Robotics targets distribution centers running goods-to-person fulfillment systems where the last step of picking individual items from each tote to fill orders remains a manual bottleneck. The company has deployed commercial systems at major retailers and 3PL providers and integrates with leading warehouse management systems. RightHand differentiates through its multi-modal sensing approach that provides tactile feedback enabling more reliable grasp quality assessment and handling of flexible or fragile items that pure vision-guided systems struggle with.

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Adept AI

EmergingAI Infra

AI Agents

Adept AI raised $415M to pioneer computer-use AI agents; its core research and agent team moved to Amazon in 2024 in a landmark talent acquisition while the company continues developing ACT-1 for enterprise automation.

About

Adept AI was founded in 2022 by a team of former OpenAI, DeepMind, and Google Brain researchers to build AI that can take actions on computers — navigating software interfaces, filling forms, and executing multi-step workflows in any application. Its ACT-1 model demonstrated the ability to control web browsers and desktop applications through natural language instructions, pioneering the computer-use agent paradigm that Anthropic later commercialized with Claude's computer use feature.

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