Origami Robotics

Product & Competitive Intelligence

Builds robotic hands with matched data-collection gloves for seamless human-to-robot transfer.

Technology

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Robotics Manipulation

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YC W26

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Valuation:

Undisclosed

Company Overview

Builds high-degree-of-freedom robotic hands with co-designed data-collection gloves that enable general-purpose dexterous manipulation through scalable sim-to-real transfer and learning-based policies.

Latest Signals | Private Roadmap

Analysis of where the company is investing and what it means competitively.

March 22, 2026
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Product Differentiation

Sim-to-Real Imitation Learning

<p>Achieve >90% zero-shot sim-to-real transfer success rate on novel manipulation tasks within 12 months, reducing policy adaptation time by 75% compared to traditional teleoperation-based approaches.</p>

March 22, 2026
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Decision Quality

Large-Scale Manipulation Data Pipeline

<p>Collect 10,000+ hours of high-quality, labeled manipulation demonstration data within 18 months and use it to train a generalizable manipulation foundation model that achieves state-of-the-art performance on standard dexterity benchmarks.</p>

March 22, 2026
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Product Differentiation

Dynamic Dexterity via RL

<p>Demonstrate autonomous dynamic in-hand manipulation (e.g., continuous object reorientation, tool pivoting) on the physical robot hand with >80% success rate across 10+ object geometries within 12 months, validated by third-party benchmarks.</p>

What They're Building | Public Roadmap

Products the company has committed to building publicly.

Origami Robotics has publicly showcased their high-DOF robotic hand with in-joint motors and a kinematically matched data-collection glove designed for seamless sim-to-real policy transfer. They have announced early commercial sales to Amazon's Physical AI Labs and are part of Y Combinator's Winter 2026 batch, signaling a focus on scaling hardware production and expanding their manipulation data infrastructure.

Competitive Landscape & Moat

Direct Competitors

  • Dexterous Hand Hardware: Shadow Robot (Dexterous Hand), Wonik Robotics (Allegro Hand), Leap Hand (CMU open-source).
  • Learning-Based Manipulation: Tesla Optimus (in-house hands), Figure AI (Figure 02), Sanctuary AI (Phoenix).
  • Data & Teleoperation: DexCap (Stanford), AnyTeleop, Haptx (haptic gloves).
  • Foundation Model Robotics: Physical Intelligence (Pi), Covariant (now part of Amazon), Skild AI.
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Founding Team

  • Quanting (Daniel) Xie, Co-Founder
  • Ryan Xie, Co-Founder

Founder Force Multiplier

Origami Robotics uniquely co-designs their robotic hand and data-collection glove with identical kinematics and sensing, eliminating the embodiment gap that plagues competitors and enabling direct, high-fidelity policy transfer from human demonstration to robot, a hardware moat that pure-software manipulation startups cannot replicate.

Funding History

  • 2025 | Quanting Xie researches dexterous manipulation at CMU Robotics Institute.
  • 2026 | Origami Robotics founded.
  • 2026 | Accepted into Y Combinator W26 batch.
  • 2026 | Early commercial sales to Amazon's Physical AI Labs.
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