AstrAlive

Summary

About

About AstrAlive

AstrAlive is a Beijing company developing data infrastructure for embodied AI, with a focus on first-person recordings of human manipulation. Its EgoKit capture system combines visual, hand-pose and tactile signals. The HBR Engine processes those recordings through hand-pose estimation, multimodal fusion and automated annotation, turning interactions into reusable training assets. The company offers standardized datasets and project services spanning collection design, equipment deployment and delivery to model developers and robot manufacturers.

Its engineering work addresses occlusion, image distortion, rapid movement and difficult lighting during hand–object interactions. AstrAlive reports project-level cooperation with robotics and embodied-model companies. A partnership with LUSTER subsidiary Yuanke Vision combines its processing software with first-person capture, multi-view vision and optical motion-capture hardware. Its current commercial focus is building consistent data quality and repeatable delivery across customer projects.

PRICE
Range 1Y
Return
High
Low
Updated

Funding

Investors

  • First Capital Investment - Participant - VC - 1 funding event - first seen 2026-10-22
  • LUSTER - Lead - Unknown - 1 funding event - first seen 2026-10-22
  • Quanshi Capital - Participant - VC - 1 funding event - first seen 2026-03-27
  • Shuimu Capital - Lead - VC - 1 funding event - first seen 2026-03-27
  • Shunxi Fund - Lead - VC - 1 funding event - first seen 2026-10-22
  • Yaozhuo Capital - Participant - VC - 1 funding event - first seen 2026-03-27
  • Zhongguancun Capital - Participant - VC - 1 funding event - first seen 2026-10-22

Team

  • 宋知珩 - Founder & CEO

Timeline

Events

Relations

Relationships

  • Luster

    Partner - AstrAlive and LUSTER subsidiary Yuanke Vision are combining hand-interaction data processing with first-person, multi-view and optical motion-capture hardware.

Context

Comparable profiles

  • Lightwheel

    stack adjacency - Robotics Data Infrastructure Layer

  • Synthium

    stack adjacency - Robotics Data Infrastructure Layer

  • Xspark AI

    stack adjacency - Robotics Data Infrastructure Layer

  • Mecka AI

    stack adjacency - Robotics Data Infrastructure Layer

  • shotwell.ai

    stack adjacency - Robotics Data Infrastructure Layer

  • Encord

    stack adjacency - Robotics Data Infrastructure Layer

  • 6thSense

    stack adjacency - Robotics Data Infrastructure Layer

  • Cortex AI

    stack adjacency - Robotics Data Infrastructure Layer

  • Physical Turing

    stack adjacency - Robotics Data Infrastructure Layer

  • Valgo

    stack adjacency - Robotics Data Infrastructure Layer

  • Sensei

    stack adjacency - Robotics Data Infrastructure Layer

  • Sureform

    stack adjacency - Robotics Data Infrastructure Layer

Shared workflows

  • LabyrinthAI

    workflow adjacency - Multimodal Robotics Data Labeling · Robot Learning Data Collection

  • Yitai Embodied

    workflow adjacency - Multimodal Robotics Data Labeling · Robot Learning Data Collection

  • Mind Robotics

    workflow adjacency - Robot Learning Data Collection

  • SenseGlove

    workflow adjacency - Robot Learning Data Collection

  • Vision Lab

    workflow adjacency - Robot Learning Data Collection

  • MANUS

    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

  • XDOF

    workflow adjacency - Robot Learning Data Collection

  • Maniformer

    workflow adjacency - Robot Learning Data Collection

Context tags

  • Robotics data infrastructure layer - Stack Layer - Capture, HBR Engine processing and data-delivery infrastructure: https://xy-ai.tech/blog/ . Data provider, not robot/model developer.
  • Robot learning data collection - Workflow - EgoKit human-manipulation capture for robot learning: https://xy-ai.tech/blog/ .
  • Multimodal robotics data labeling - Workflow - Multimodal automated annotation and quality assessment: https://xy-ai.tech/blog/ .