Humanoid robotics startup Sunday has achieved unicorn status with a new $1.15 billion valuation following a $165 million Series B funding round. The company announced the financing on Thursday, with the round led by Coatue Management. Additional participants included Tiger Global, Benchmark, and Bain Capital Ventures. Founded by Tony Zhao and Cheng Chi, Sunday recently emerged from stealth mode after gaining significant attention last year. According to reports, the company has already accumulated 1,000 names on its waitlist. Its primary objective is to develop Memo, a household humanoid robot designed to perform daily chores such as folding laundry and clearing tables. This vision aims to realize the long-standing dream of a domestic helper akin to Rosie from the animated series "The Jetsons." For decades, experts have attempted to create general-purpose household robots but have struggled to deliver reliable results. The primary obstacle has been the lack of training data required to teach machines how to handle objects with varying weights, textures, and fragility. For instance, a robot must be able to distinguish between the delicate nature of a wineglass and the softness of a towel without causing damage. As artificial intelligence technology advances rapidly, a new wave of robotic solutions is entering the market, seeking to overcome these historical limitations and finally bring the autonomous household helper to life. The substantial investment in Sunday highlights growing confidence in the sector. By securing this capital, the company is well-positioned to accelerate the development of Memo and solve the complex engineering challenges associated with dexterity and object manipulation in unstructured home environments. The success of this round signals to the industry that the convergence of improved AI models and advanced robotics may finally be reaching a tipping point where reliable household automation becomes a commercial reality. Sunday's trajectory reflects a broader trend in the tech industry where significant capital is being directed toward transformative hardware solutions powered by machine learning. While the market has seen many false starts in robotics, the combination of deep funding and refined AI training data offers a more promising path forward. As the company moves beyond its initial concept phase, the focus will likely shift to scaling production and refining the robot's ability to navigate diverse home settings safely and efficiently.