Origami Robotics

Manipulate Anything Robot

Winter 2026ActiveIndustrialsArtificial IntelligenceRoboticsAutomationMillbrae, CA, USA

Company

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.

Verdict

High Signal

Market Opportunity

Industrial manipulation is a massive market — factory automation and logistics robotics collectively represent hundreds of billions in potential TAM. The 'manipulate anything' model targeting manufacturing and logistics ICPs is credible and high-value. Tesla-style data flywheel for real-world manipulation data is a compelling strategic framing with clear monetization via hardware + software/model licensing.

Medium Signal

Founder Signal

Quanting (Daniel) Xie is a CMU Robotics PhD student (expected 2029) with an ICRA 2024 submission, ex-Apple manufacturing intern, and clear deep technical robotics credentials — the hardware research lead. Ryan Xie has an MS in Robotics from U Michigan, 1.5 years as a robotics software engineer at Canvas (drywall robot startup), and founded Ground Robotics (StartX '25, autonomous turf care) before pivoting here — serial hardware founder signal but no exits. Both are genuinely technical roboticists, which matters enormously for this space, but Daniel is still mid-PhD and Ryan's prior company didn't exit.

Low Signal

Competition

This space is extremely crowded: Dexterous hand competitors include Sanctuary AI, Figure, Physical Intelligence (pi), Skild AI, Apptronik, and well-funded startups like Kepler and Fourier Intelligence, plus Google DeepMind's RT-2 lineage. Direct-drive dexterous hands are also being built by groups at MIT, Stanford, and CMU itself. The 'embodiment gap elimination via matched hardware/data device' framing is differentiated technically but unproven at scale, and no moat is established yet.

Low Signal

Product

Website shows only a waitlist, a single blog post from Feb 2026 about gearbox design philosophy, and FAQ text. No named customers, no pricing, no demo, no revenue metrics. Product appears to be a 22-DOF quasi-direct-drive robotic hand still in early development with a waitlist — not yet commercially deployed.

OverallC Tier

Two genuinely technical robotics researchers with relevant hardware and software credentials, tackling a real and massive problem in dexterous manipulation. The direct-drive, embodiment-gap-free approach is technically sound and the Tesla data flywheel analogy is compelling strategy. However, this is pre-revenue, pre-customer, waitlist-only with no named traction, operating in one of the most capital-intensive and competitively saturated spaces in all of deep tech. Daniel is still mid-PhD (2029), which raises commitment questions, and Ryan's prior hardware company (Ground Robotics) didn't produce an exit. Without demonstrated hardware in customers' hands or pilot data, this is a strong research project that has not yet crossed into startup execution.

Active Founders

Ryan Xie

Founder

Serial hardware company founder. Working on something in physical AI space now

Quanting(Daniel) xie

Founder

Roboticist (CMU RI); Building manipulate anything model

Origami Robotics

TierC Tier

BatchWinter 2026

Team Size5

StatusActive

LocationMillbrae, CA, USA