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Sunday Robotics debuts ACT-2 Preview, achieving 99.1% reliability for in-home AI robots. July 18, 2026 Reading Time: 3 minutes Key Takeaways: * Officially launched as a direct upgrade to November 2025's ACT-1, the ACT-2 Preview focuses strictly on reliability and long-tail environmental variations rather than controlled lab setups. * Operating on Sunday's home robot, Memo, ACT-2 achieved a 99.1% success rate during live testing, successfully completing 778 out of 785 autonomous laundry folds across unfamiliar households. * The model can absorb a brand-new behavior from just one fine-tuning demonstration and successfully propagate that skill across entirely new physical environments. User Score Sunday Robotics unveils the ACT-2 Preview, a groundbreaking robotics foundation model showcasing a 99.1% zero-shot success rate in folding laundry across completely unseen, real-world homes. Table of Contents The breakthrough mechanics behind ACT-2. The core engineering breakthrough of ACT-2 lies in its ability to combine broad, generalized environmental awareness with high-precision physical performance. Advanced pre-training framework. Sunday Robotics trained ACT-2 on a highly specialized dataset of sensorized human movement data. Following this initial phase, the model underwent automated, aggressive post-training loops on Sunday's flagship hardware, the Memo home robot. This data flywheel allows the system to achieve rapid performance gains, enabling the robot to master a completely new behavioral variation from a single fine-tuning prompt and replicate it seamlessly across foreign environments without requiring house-specific recalibration. Redefining industry success metas. To combat the industry trend of highly edited, single-take robotic video demonstrations, Sunday has introduced the "Solve" evaluation framework. This metric grades home robotics deployments across three distinct operational axes: Performance (the accuracy of the action), Scope (the diversity of environments the robot can handle), and Adaptation Cost (the amount of new data or human intervention required to launch the robot in a new location). Benchmarking performance data. To prove the operational maturity of ACT-2, Sunday selected laundry folding as its inaugural Solve target. The task is notoriously difficult for artificial intelligence due to the non-rigid, unpredictable nature of fabrics. Testing was conducted purely on unseen homes, cureal-world residential environments featuring unexpected lighting, varying floor layouts, and cluttered background spaces. The empirical results from the validation trials are detailed below: | Evaluation Category | Demonstrated Performance Metrics | | Overall Success Rate | 99.1% +/- 0.3% | | Total Autonomous Attempts | 785 trials | | Successful Task Completions | 778 folds | | Median Execution Time | 2 minutes and 13 seconds | | Average Fold Quality Score | 4.72 / 5.00 stars | The validation data shows that 98.3% of the completed folds achieved a 4 or 5-star rating under Sunday's strict internal quality rubric. Furthermore, the Memo robot successfully maintained this peak performance across a wide array of garment types, demonstrating advanced spatial reasoning by automatically recovering when clothing fell to the floor or when fabrics were heavily wrinkled and partially occluded. The future of consumer robotics. The launch of the ACT-2 Preview indicates that home robotics is moving closer to becoming a viable commercial consumer product. In traditional household settings, no two rooms, layouts, or items are identical, creating an infinite string of unpredictable edge cases known as the problem. By demonstrating that a robotic platform can enter an unmapped home and reliably handle complex, non-rigid object manipulation with almost zero failure, Sunday Robotics is proving that foundation models can successfully close the generalization gap. ACT-2 establishes a baseline where autonomous home assistants can finally function as dependable, practical tools for daily human life. Lindy McKenzie Lindy McKenzie brings over four years of experience analyzing the intersection of AI, blockchain, and global technology. She specializes in breaking down complex Crypto, AI frameworks into clear insights. Lindy helps readers navigate the legal complexities of emerging tech and data privacy with confidence.

Sunday's 'playful Precision': a robotics brand designed to give you your time back. Most technology competes for your attention. Sunday is building the complete opposite, a new kind of robotics company focused on returning time to people's lives. Its identity, created in collaboration with Moniker, strikes a careful balance between warmth and credibility. 26 March 2026 There is no shortage of bold claims in the world of AI and robotics. Every new product promises to change everything, usually while asking for more of your time in return. Sunday takes a different stance. Its ambition is disarmingly simple: free people from repetitive domestic tasks so they can focus on what actually matters. Its founders, Tony Zhao and Cheng Chi, have helped reshape how robotics systems learn, and their company has spent more than a year quietly building in the background. Backed by investors, it is now stepping into the spotlight with Memo, a fully autonomous home robot designed for real life. Sunday's technology centres around its Skill Capture Glove, a proprietary system that allows robots to learn tasks directly from humans. Instead of traditional programming, actions can be demonstrated and absorbed into an expanding skill library, powered by advanced AI models. The result is a level of dexterity and adaptability that makes Creative Boom Limited closer to the future than Creative Boom Limited think. Translating that into something people can immediately understand and trust is another challenge entirely. That is where the brand comes in. From research lab to real life. Working alongside San Francisco studio Moniker, Sunday developed an identity that introduces Memo not as intimidating technology, set to take over the world, but as something genuinely helpful. The team recognised early on that the product has an inherent duality: it is highly sophisticated yet outwardly calm and approachable. They defined this tension as "Playful Precision", a phrase that underpins the entire system. It allows the brand to hold two ideas at once: friendliness and engineering rigour, softness and control. This thinking carries through to the positioning line, "Life, made lighter". It is refreshingly simple and free of jargon. There is no mention of AI or robotics, just a clear articulation of the outcome, i.e. time returned. Soft on the surface, sharp underneath. Visually, the identity leans into Memo's physical qualities. Rounded corners and soft forms echo the product's design, while a gentle, restrained use of motion reflects its responsive outer shell. The palette feels considered and calm, reinforcing the sense that this is a product designed to fit quietly into everyday life. At the same time, the system never shies away from its underlying technology. A secondary layer introduces more technical expression, from dynamic data visualisations to detailed specifications and a darker mode that shifts the tone from aspirational to engineered. It is a careful approach that speaks to future customers while also reassuring investors and the wider robotics community. Typography helps meet these different demands. Basel Grotesk provides a clean, contemporary foundation with a neutral, confident voice, while Styrene brings a more industrial edge, particularly in moments where technical detail is important. Together, they create a flexible system that can move easily between warmth and clarity. The digital experience continues to reassure. Cinematic footage shows Memo operating autonomously in real homes, making the product a reality. This is paired with behind-the-scenes glimpses of the lab, offering insight into the engineering to build credibility without overwhelming the viewer. Interactions and transitions are deliberately paced, mirroring the product's own sense of control and precision. Nothing feels rushed or overly embellished. Even the smallest details, from micro-interactions to motion cues, reinforce the idea that this is technology designed with care. One of the more thoughtful aspects of the project is how the content was developed. Video, photography and 3D were created alongside the brand rather than added later, meaning everything shares the same strategic foundation. The result is a cohesive world where every touchpoint feels aligned. A launch that cut through. The launch response suggests the approach has landed. The waitlist filled within hours, with coverage from Wired, Bloomberg and TechCrunch following soon after. Social channels lit up, and more than 10,000 job applications came in from talent across companies, including Tesla, Google and OpenAI. Within three months, Sunday had raised its Series B, led by Coatue, at a valuation exceeding $1.15 billion. What makes the work particularly compelling is its restraint. Its category is known for leaning into complexity or spectacle, but Sunday's brand chooses clarity instead. It focuses on what people actually care about and goes from there. The work by Moniker gives Sunday a disciplined framework, shaping everything from strategy and identity to motion and storytelling. The result is that it offers a glimpse of a different kind of future for technology... Not anything Creative Boom Limited ever expected or were even ready for, yet it's already here.