Intro
Sunday Robotics is a Silicon Valley robotics startup focused on developing AI-driven household robots capable of performing real-world domestic tasks autonomously. Founded in April 2024 and headquartered in Mountain View, California, the company aims to build practical home robots that reduce the burden of everyday chores and allow people to reclaim time for more meaningful activities.
The company was founded by robotics researchers Tony Zhao and Cheng Chi, both known for their work in robotic learning and imitation learning systems. Their vision is to overcome one of the biggest challenges in robotics: obtaining the large volumes of real-world training data needed for robots to manipulate everyday objects safely and reliably.
Sunday’s flagship robot, Memo, is designed as an autonomous household assistant capable of performing chores such as clearing dishes, handling fragile glassware, folding laundry, and operating kitchen appliances. Unlike many robotics companies that rely heavily on teleoperation or simulation, Sunday uses a proprietary Skill Capture Glove system that records human motions and converts them into training data for robot learning. This approach enables scalable data collection from hundreds of human contributors, accelerating skill acquisition for robots operating in diverse home environments.
By combining imitation learning, large-scale human motion datasets, and adaptive robotic manipulation, Sunday aims to create a platform where household robots can continuously expand their capabilities through an evolving skill library. The company’s long-term objective is to deliver fully autonomous domestic robots capable of operating reliably in the unpredictable conditions of everyday homes
Robots
- Memo:
Sunday’s first autonomous household robot designed to perform practical domestic chores such as clearing tables, loading dishwashers, folding socks, and operating appliances.
Specialism
- Household robotics and domestic automation
- Robot learning from human demonstrations (imitation learning)
- Large-scale human motion data collection
- Dexterous manipulation of everyday objects
Business Viability
Sunday Robotics operates in the emerging AI-driven household robotics market, a sector long constrained by the difficulty of building robots that can reliably manipulate objects in the unpredictable environments of everyday homes. The company’s strategy, focusing on scalable data collection through its proprietary Skill Capture Glove system, addresses one of the largest bottlenecks in robotics: obtaining large volumes of high-quality manipulation data for training autonomous systems.
Investor confidence in the company has strengthened significantly following its March 2026 Series B funding round, where Sunday raised $165 million at a $1.15 billion valuation, officially reaching unicorn status. The round was led by Coatue Management, with participation from Bain Capital Ventures, Fidelity Management & Research Company, Tiger Global, Benchmark, Conviction, and Xtal Ventures. The funding will be used to accelerate real-world deployment of Sunday’s home robot Memo, expand research, and scale its data-collection pipeline for robotic learning.
The capital injection positions Sunday among a growing cohort of well-funded embodied AI startups attempting to bring general-purpose robots into consumer environments. The company plans to begin beta deployments of Memo in real households in 2026, allowing the robot to learn from real-world environments while refining its autonomous manipulation capabilities.
Despite strong investor backing and rapid technical progress, the consumer household robotics segment remains challenging due to hardware costs, safety requirements, and the complexity of operating in unstructured domestic environments. However, Sunday’s full-stack approach, combining hardware design, AI models, and proprietary training data which gives it a credible pathway toward scalable domestic robotics if its beta deployments demonstrate reliability and meaningful utility for everyday users.
