RightHand Robotics vs a2z Radiology 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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a2z Radiology AI

EmergingEnterprise AI

Medical Imaging AI

a2z Radiology AI raised $20M in 2025 for its whole-body AI that simultaneously screens for 24+ conditions across CT scans — from incidental cancers to cardiovascular risk — in a single automated read.

About

a2z Radiology AI has developed a whole-body CT analysis platform that simultaneously screens for over 24 medical conditions across a single CT scan, including incidental cancers, coronary artery disease, aortic aneurysm, bone density loss, and organ abnormalities. The AI acts as a second reader that radiologists can use to catch incidental findings that fall outside the primary reason for a scan — a major source of missed diagnoses.

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