Xspark AI

Summary

About

About Xspark AI

Xspark AI develops data-collection and processing infrastructure for robot-learning programmes. Its X-Ego workflow records human interaction from an egocentric perspective and converts captured demonstrations into structured datasets for manipulation and embodied-model training. The company is also working on formats that can be replayed or adapted inside simulation environments.

The broader stack covers capture hardware, data cleaning, annotation and integration with policy-training pipelines. Xspark is targeting teams that need larger and more varied physical-interaction datasets without relying exclusively on robot teleoperation. The company remains in early-stage development following its 2026 angel financing.

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Articles

Funding

Investors

  • Beiyang Haitang Fund - Participant - VC - 1 funding event - first seen 2026-07-10
  • CDH VGC - Lead - Angel / Individual - 1 funding event - first seen 2026-07-10
  • Chuxin Capital - Lead - VC - 1 funding event - first seen 2026-07-10
  • HuaShan Capital - Participant - VC - 1 funding event - first seen 2026-10-16
  • Junyuan Capital - Participant - VC - 1 funding event - first seen 2026-10-16
  • Liedao Investment - Participant - Angel / Individual - 1 funding event - first seen 2026-10-16
  • Nanshan Strategic Emerging Industries Investment - Participant - Unknown - 1 funding event - first seen 2026-10-16
  • Pudong Venture Capital Group - Participant - VC - 1 funding event - first seen 2026-10-16
  • SEE Fund - Lead - VC - 1 funding event - first seen 2026-07-10
  • Shenzhen Angel FOF - Participant - Unknown - 1 funding event - first seen 2026-07-10
  • Shuimu Tsinghua Alumni Seed Fund - Participant - VC - 1 funding event - first seen 2026-07-10
  • Shuimu Venture Capital - Participant - VC - 1 funding event - first seen 2026-10-16
  • Xtep family office - Participant - Unknown - 1 funding event - first seen 2026-07-10
  • Yuanhang Capital - Participant - VC - 1 funding event - first seen 2026-10-16

Research

  • Xspark AI introduces Spark-0 tactile pretraining model and HumanTouch corpus

    2026-10-15 - Research Publication - Spatial contact maps and a frozen 3D geometry teacher supervise visual representations during pretraining. On matched visual data and compute, reported vision-only Ego Humanoid success increases from about 52.5% to71.7%. One checkpoint supports vision-only and tactile-conditioned inference; touch-supervision heads are removed at inference.

    Source

Timeline

Events

Context

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    stack adjacency - Robotics Data Infrastructure Layer

  • MANUS

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  • XDOF

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  • Physen AI

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    stack adjacency - Physical AI Training Data

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    stack adjacency - Physical AI Data Infrastructure

Shared workflows

  • Maniformer

    workflow adjacency - Robot Learning Data Collection

  • Jiiov / 极豪科技

    workflow adjacency - Robot Learning Data Collection

  • Mind Robotics

    workflow adjacency - Robot Learning Data Collection

  • SenseGlove

    workflow adjacency - Robot Learning Data Collection

  • Trossen Robotics

    workflow adjacency - Robot Learning Data Collection

  • Rokoko

    workflow adjacency - Robot Learning Data Collection

  • Noitom

    workflow adjacency - Robot Learning Data Collection

  • StretchSense

    workflow adjacency - Robot Learning Data Collection

  • Noitom Robotics

    workflow adjacency - Robot Learning Data Collection

  • Hub

    workflow adjacency - Robot Learning Data Collection

  • PHYMI

    workflow adjacency - Robot Learning Data Collection

  • Reward AI

    workflow adjacency - Robot Learning Data Collection

Context tags

  • Embodied AI - Capability - Company materials and funding coverage support this profile context.
  • Robotics data infrastructure layer - Stack Layer - Company materials and funding coverage support this profile context.
  • Physical AI data infrastructure - Stack Layer - Company materials and funding coverage support this profile context.
  • Physical AI training data - Stack Layer - Company materials and funding coverage support this profile context.
  • Robot learning data collection - Workflow - Company materials and funding coverage support this profile context.