Sunday reaches $1.15 billion valuation to deploy Memo household robot across real homes

Sunday Achieves Unicorn Status With $165 Million Series B Funding Round

Robotics company Sunday has reached unicorn status after raising $165 million in a Series B funding round that valued the startup at $1.15 billion 1

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. The round was led by Coatue Management, with participation from Bain Capital Ventures, Fidelity Management & Research Company, Tiger Global, Benchmark, Conviction Capital and Xtal Ventures 2

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. Founded in 2023 by Tony Zhao and Cheng Chi, Sunday has now raised a total of $200 million, having previously secured $35 million from Benchmark and Conviction in November 2

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Memo Household Robot Targets Real-World Deployment in Coming Months

Sunday is developing Memo, a household humanoid robot designed to perform routine tasks such as laundry, clearing tables, handling dishes and organizing items 1

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. The company emerged from stealth late last year and already has 1,000 people on its waitlist 1

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. "We raised our Series B to stop giving demos. Now, we're focusing entirely on deployment, with beta deliveries starting in just months," said Tony Zhao, chief executive officer of Sunday 2

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. This marks a shift from demonstration to actual residential deployment, where the autonomous robot must function in unstructured environments rather than controlled industrial settings 2

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Training Data and Skill Capture Gloves Drive Advancement in AI Technology

Experts have attempted for decades to build a household robot capable of reliably grasping objects of differing weights, textures and fragility, but have come up short largely because of a lack of training data 1

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. Sunday addresses this bottleneck through its Skill Capture Glove technology, which records the movements of a person performing a task 2

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. These recordings are converted into structured datasets that train machine learning models responsible for grasping objects, recognizing environments and executing sequences of actions 2

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. The system combines robotic hardware with perception systems and manipulation systems trained on motion data captured from humans, allowing robots to operate in real home environments where objects, layouts and tasks vary widely 2

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. "Data has always been the biggest bottleneck in robotics. We built the only pipeline that turns the complexity of real-world homes into autonomous intelligence at scale," Zhao explained 2

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Early Pilot Installations Will Generate Operational Data for Continuous Improvement

Early deployments are expected through pilot installations in households where the robots operate continuously while collecting additional operational data that informs further model training and system updates 2

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. The Memo home robot can identify objects in a kitchen or dining area, pick them up using articulated manipulators and place them into appliances such as dishwashers or storage locations 2

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. Data generated during operation can be used to refine models and expand the set of tasks the robot can perform, creating a feedback loop that should accelerate capability development 2

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. As AI technology continues to advance, a new wave of robotic technologies is hitting the market, hoping to bring the humanoid helper to life 1

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. Watch for how these beta deployments perform in handling multistep tasks involving fragile items, variable object placement and cluttered surfaces in real homes.