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Mar 9, 2026
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NewDecoded
2 min read

Image by Sunday Robotics
Mountain View startup Sunday Robotics has secured a $165 million Series B funding round, catapulting the company to a $1.15 billion valuation. Led by Coatue, this capital injection signals a major shift in the robotics sector from laboratory demonstrations to actual commercial deployment in private homes. The funding will accelerate the production of Sunday’s flagship robot, Memo, which is scheduled for a beta release in late 2026. Sunday sets itself apart with a unique data collection strategy involving a low-cost wearable known as the Skill Capture Glove. By distributing these gloves to a network of Memory Developers, the company has built a massive dataset of millions of real-world chore episodes. This philosophy allows Memo to learn generalized autonomy from actual human movements rather than artificial simulations. Unlike many competitors focused on complex bipedal designs, Memo utilizes a rolling base for stability and a soft silicone exterior. CEO Tony Zhao emphasizes that the goal of the Series B is to stop giving demos and start delivering products. The company plans to deploy the first units to a select group of fifty households just before Thanksgiving. These testers will help refine the robot's ability to handle unpredictable tasks like loading dishwashers and folding laundry. With a team of over 70 experts from Tesla and OpenAI, Sunday aims to drop retail prices below $10,000 at scale. Interested parties can track their progress at Sunday.ai.
Sunday’s decision to bypass the humanoid hype of walking robots in favor of a stable, wheeled torso represents a strategic pivot for the domestic robotics industry. While competitors focus on the mechanical complexity of bipedal locomotion, Sunday is betting that consumers prioritize reliability and cost over anatomical mimicry. By leveraging their low-cost Skill Capture Glove to solve the data scarcity problem, they are attempting to build a foundation model for physical labor. If successful in late 2026, Sunday could demonstrate that the path to a robot in every home lies in pragmatic design and proprietary data pipelines.
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