Sunday
@sundayrobotics
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Leave it to Sunday
Mountain View
Joined October 2025
After 18 months in stealth, dozens of prototypes, millions of real-home demonstrations, and one final all-nighter, we’re thrilled for you to say hello to Memo
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Happy holidays from the Sunday team!🎄 Bonus points if you catch the hidden Memos
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Traditional robots are like player pianos—they only play notes they’re given. Memo is more like a Master Chef who has watched hundreds of cooks in every type of kitchen. Our diverse dataset provides Memo with an “intuition” for grasping entirely new objects. This is a small
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The Rules: ✅ Must be repetitive & boring ❌ No stairs (Memo skips leg day) 👇 Drop your ideas below
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After dozens of live demos over the past few weeks, we’re tired of the old, and ready for new challenges. Tell us what Memo should learn next. We’ll train Memo on the best tasks, and invite a handful of you to see it in-person
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This is the best compliment orange robot could wish for. Your daughter is welcome to watch Memo IRL whenever she’d like
Apropos of nothing today my 2 year old asked to "watch orange robot putting away dishes" (one of her longer sentences) so been watching this video on repeat for like 20 minutes now Sometimes I wonder what kind of damage i'm doing to this girl
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Sunday Robotics unveils its robot for home chores that it expects will eventually sell for $5K to $10K. CEO Tony Zhao says people will be "pleasantly surprised" by how useful the robot is https://t.co/pcaNb5Q1wz
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First genius level innovation I’ve seen in this space recently.
Instead of teleoperation, we train solely on data from our Skill Capture Glove. The glove is co-designed with Memo's hand, meaning they share the exact same geometry and sensor suite. If you can do it wearing the glove, Memo can learn it.
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Grateful to be a seed investor in Sunday! Just a few minutes into meeting @tonyzzhao and @chichengcc it was clear this would be a very special company. Their pace and progress has exceeded every expectation and they are just getting started!
After 18 months in stealth, dozens of prototypes, millions of real-home demonstrations, and one final all-nighter, we’re thrilled for you to say hello to Memo
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More on our frontier foundation model:
Today, we present a step-change in robotic AI @sundayrobotics. Introducing ACT-1: A frontier robot foundation model trained on zero robot data. - Ultra long-horizon tasks - Zero-shot generalization - Advanced dexterity 🧵->
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In case you missed it! https://t.co/PtGFXyqrer
After 18 months in stealth, dozens of prototypes, millions of real-home demonstrations, and one final all-nighter, we’re thrilled for you to say hello to Memo
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It started with @tonyzzhao and @chichengcc in their apartment in April 2024. We moved out of our hacker house in Mountain View in February of 2025 with 10 people. Today, we have over 30 team members. Velocity of progress to a real, useful robot is everything to us. The progress
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This was a very impressive demo, achieved at a fraction of the capital of other humanoid robot companies. Congrats on launching!
Today, we present a step-change in robotic AI @sundayrobotics. Introducing ACT-1: A frontier robot foundation model trained on zero robot data. - Ultra long-horizon tasks - Zero-shot generalization - Advanced dexterity 🧵->
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This is hands down the best robotics startup launch I have seen 🔥 Full-stack innovation from hardware design to betting big on UMI to smooth and impressive policies. After 1.5 years of stealth, instantly launching as a top-5 robot foundation model team. Congrats!👏
Today, we present a step-change in robotic AI @sundayrobotics. Introducing ACT-1: A frontier robot foundation model trained on zero robot data. - Ultra long-horizon tasks - Zero-shot generalization - Advanced dexterity 🧵->
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This is insanely impressive
The table-to-dishwasher task is the classic nightmare scenario for roboticists: Long-horizon, highly dexterous, precise, whole-body manipulation combined with delicate, transparent, reflective, and deformable objects. Yet Memo handles it so naturally and elegantly.
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5/ In late 2026, we’ll provide Memo to 50 households. They'll gain early access and work with our team to guide what skills Memo learns. Apply to join our beta here: https://t.co/n9eTYZ4zaC We’ll use our Beta to ensure the highest standards before delivering our product. See
sunday.ai
Be one of the first to welcome Memo into your home. Guide what Memo learns, gain exclusive access to the Sunday team's journey, and help shape the future of AI robotics in the home.
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4/ ACT-1 trains on data from more than 500 data collectors. This dataset is crucial for Memo to obtain a general understanding of objects and physics, so it can work out-of-the-box in your home. Learn more here:
sunday.ai
Say hello to Memo. Built for busy households, Memo works 24/7 to make your life lighter. Hand off your endless to-do’s, so you can focus on what really matters.
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3/ Our approach is different - can we generate training data without teleoperation? Or even without Memo? Our bet is to learn directly from human motion. We designed the Skill Capture Glove exactly like Memo's hand, allowing anyone to teach Memo new tasks wearing our gloves.
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