Side-by-side comparison of AI visibility scores, market position, and capabilities
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.
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.
Allus is an AI-powered process automation platform for manufacturing that uses computer vision and robotic process automation to automate repetitive assembly and inspection tasks on the factory floor.
Allus is a manufacturing automation company that combines computer vision AI and robotic process automation (RPA) to automate repetitive tasks on factory floors that are currently performed manually. Assembly operations, part sorting, quality checks, and material handling represent significant labor costs and productivity constraints in manufacturing—Allus provides automation solutions that can be deployed quickly alongside human workers without full line redesign.
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