Nature Will

Summary

About

About Nature Will

Nature Will develops the model and learning infrastructure between perception and physical action, focusing on general dexterous manipulation rather than manufacturing a complete robot. Led by founder and CEO Ning Ding, it builds data acquisition and governance, foundation-model training, simulation, real-world evaluation and post-training into a single research stack. Human hand-use experience is converted into language-conditioned action supervision before adaptation with robot data.

Its first announced physical foundation model, Natura-1, is a 50-billion-parameter mixture-of-experts model trained on more than one million hours of egocentric human experience. The company demonstrates a 100-millisecond control loop with 20-degree-of-freedom hands on a ROKAE dual-arm platform. Reported benchmark scores, long-horizon workflows and generalization demonstrations are company evaluations; the gripper baselines use a different ARX platform. A model announcement and demonstrations do not establish a commercial fleet or operational deployment.

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Articles

Funding

Investors

  • Frees Fund - Participant - VC - 1 funding event - first seen 2026-04-27
  • IDG Capital - Participant - VC - 1 funding event - first seen 2026-04-27
  • ZhenFund - Participant - VC - 1 funding event - first seen 2026-04-27

Team

  • Ning Ding - Founder and Chief Executive Officer

Research

  • Nature Will introduces Natura-1 dexterous physical foundation model

    2026-10-13 - Research Publication - The model takes language and vision inputs and controls 20-degree-of-freedom hands in a 100-millisecond loop after robot-data post-training. Company tests use ROKAE AR5 arms with Wuji hands and report scores of 53.4 Base and 59.1 Agentic; gripper baselines run on a different ARX platform. Demonstrations include long-horizon tool use, calligraphy and manipulation of deformable materials under unfamiliar instructions.

    Source

Timeline

Events