Origami Robotics
Winter 2026 NewManipulate Anything Robot
We are building a "manipulate anything" model with the robot hardware that embodies it. We designed a hand-based data-collection device and a high DOF, direct drive robotic hand that match each other exactly, enabling us to eliminate embodiment gap and collect real-world data and deploy it directly. We want to scale real world manipulation data by deploying our devices "in the wild" like manufacturing factories, logistic centers to collect Tesla like data, use these data to train our model and then provide automation solutions to these industries.
AI Investor Summary
Origami Robotics is building a 'manipulate anything' model powered by a novel robotic hand and data collection device designed to eliminate the embodiment gap. They aim to scale real-world manipulation data by deploying their hardware in industrial settings to train their AI, targeting a massive market for advanced automation. Early indicators are positive, but significant execution and scaling risks remain.
Key Highlights
- ● Innovative approach to closing the embodiment gap in robotic manipulation through integrated hardware and data collection.
- ● Addresses a massive and growing market for flexible industrial automation.
- ● Positive early signals from press and angel investors, indicating initial validation.
Risk Factors
- ● Execution risk in building and scaling complex robotic hardware and AI models simultaneously.
- ● Intense competition in the robotics and AI space.
- ● The challenge of acquiring sufficient, high-quality real-world manipulation data at scale.
- ● Long sales cycles and integration complexities in industrial settings.
Founders
Daniel Xie is the co-founder of Origami Robotics, a Y Combinator startup focused on developing advanced robotic solutions. His background likely includes significant expertise in robotics, engineering, and potentially business development, given his role in a venture-backed company. He is a key figure in bringing innovative robotic technologies to market.
Ryan Xie is the co-founder of Origami Robotics, a Y Combinator startup focused on developing advanced robotic solutions. His background likely includes significant expertise in robotics, engineering, and potentially business development, given his role in a venture-backed company. He is a key figure in bringing innovative robotic technologies to market.
Score Breakdown
Founders Ryan and Daniel Xie appear to have strong technical backgrounds in robotics, crucial for this hardware-intensive venture. While their specific educational institutions and previous employers aren't detailed, their co-founding of a YC company and the positive mentions in recent news suggest competence and drive. The absence of prior exits or highly recognizable industry names tempers a higher score, but the core technical foundation seems solid for a seed-stage company. Founder-market fit is implied by their focus on a specific robotic manipulation problem.
The 'manipulate anything' concept taps into a massive and growing market across manufacturing, logistics, and potentially beyond. The TAM is enormous, driven by the increasing need for automation and flexible robotic solutions. The timing is opportune with advancements in AI and robotics hardware making such ambitious goals more feasible. Regulatory tailwinds for industrial automation are generally positive, though specific safety regulations for advanced robots will be a factor. The competitive landscape is intense, with established players and numerous startups, but Origami's unique approach could carve out a niche.
The core innovation of unifying a hand-based data collection device with a high DOF, direct drive robotic hand to eliminate the 'embodiment gap' is technically interesting and addresses a key challenge in robotic learning. This direct real-world data collection and deployment loop is a strong differentiator. However, the defensibility/moat beyond this initial hardware-software integration needs to be more clearly articulated. The 'platform potential' is high if they can scale the data collection and model training effectively. UX quality is not yet assessable for a product in this stage.
Traction is very early stage, as expected for a Winter 2026 YC batch. The primary indicators are positive press coverage and an angel investor's endorsement, which are good signals but not direct revenue or user growth. The plan to deploy devices 'in the wild' for data collection is a strategy for future traction, but current revenue and user numbers are likely negligible. Partnerships and significant press coverage are still to come.
News
Origami Robotics, a seed-stage company founded in 2026, has raised $500K in funding and is developing robotic hands and data collection devices for manipulation, with competitors including Flexiv Robotics and Agile Robots.
Origami Robotics is developing a 'manipulate anything' model by creating a robot hardware that embodies it, using a co-designed data-collection device and a high DOF robotic hand to collect and deploy real-world manipulation data.
Quanting Xie of Origami Robotics presented and demoed their technology at a Physical AI meetup, engaging with attendees and other robotics startup founders.
An investor expresses excitement about Origami Robotics' official launch through Y Combinator, highlighting their dexterous hands and data-collection gloves as crucial for physical intelligence.
Origami Robotics is a startup focused on solving the problem of robotic manipulation by developing advanced hardware, including a blog discussing their technical challenges and solutions.
Researchers have developed an origami-inspired soft robot using printable polymers and electric current for movement, demonstrating a novel approach to soft robotics.
Origami Robotics criticizes the industry's reliance on high-ratio gearboxes for robotic manipulation, sparking a debate with 1X Technologies about the best approach to achieving human-level dexterity.
Origami Robotics discusses the limitations of high-ratio gearboxes in robotic hands and introduces their solution with a focus on improved sim-to-real transfer and force transparency.
Origami Robotics discusses the limitations of high-ratio gearboxes in robotic hands, arguing they hinder sim-to-real transfer, force transparency, and reliability, and introduces their approach to address these issues.
Origami Robotics is developing infrastructure to solve general manipulation in robotics, focusing on building a robotic hand designed for learning and collecting high-quality manipulation data.
Origami Robotics has launched a high-DOF robotic hand with in-joint motors and a co-designed data-collection glove to eliminate the embodiment gap for robot learning.
Quick Info
- Batch
- Winter 2026
- Team Size
- 5
- Location
- Unspecified
- Founders
- 2
- Scraped
- 4/10/2026