Sunday is developing Memo, a household humanoid robot designed to assist with chores like laundry and clearing the table, as part of a full-stack effort to bring perception, understanding, and manipulation into real homes.

Funding and testing timelines indicate the company is accelerating product development and moving toward real-world deployment.

Since emerging from stealth last November, Sunday has seen strong demand for its Beta program, rapid hiring across engineering, research, and data collection, and ongoing recruitment to support deployment.

The broader market context shows optimism around consumer deployment of humanoid robots, with ongoing investment from major venture firms.

Sunday raised 165 million in a Series B led by Coatue Management, with participation from Tiger Global, Benchmark, and Bain Capital Ventures, valuing the company at about 1.15 billion dollars.

The funding is earmarked to shift from demonstrations to real-world deployments of Memo, with Beta deliveries planned for households in 2026.

AI progress is driving a new wave of humanoid-robot ventures, and Sunday maintains a waitlist of roughly 1,000 interested users.

Sunday emphasizes a vertical integration model across hardware, software, and the Skill Capture Glove to accelerate data collection and model training, claiming a leading model-iteration loop.

Upcoming pilots in real homes will test end-to-end tasks, with attention to safety, serviceability, and potential partnerships with appliance makers, insurers, or eldercare providers, while hardware updates balance capability with cost.

The company plans deployment-focused pilots in households to continuously gather operational data for model refinement and system updates.

Industry observers praise Sunday’s full-stack approach and speed, suggesting it could enable the first widely deployed, helpful autonomous home robot at scale.

CEO Tony Zhao says the Series B funds will fund deployment-focused work and beta testing to understand user needs and refine Memo for scalable household use, aiming to stop demos and start real-world deployments.