Simple AI / 深朴智能

Summary

About

About Simple AI / 深朴智能

Simple AI is a Beijing embodied-intelligence company developing foundation models, real-world data infrastructure and robot-engineering systems. Its work focuses on manipulation policies that can move from human demonstrations into physical robot deployments.

HiFi-UMI is the company's high-fidelity data engine for collecting synchronized bimanual demonstrations without requiring a robot during capture. The associated research describes a pipeline spanning portable capture hardware, calibrated sensing, data processing and deployment on robot manipulators.

In September 2026 the company said HiFi-UMI had processed more than 20,000 hours of demonstrations, 4.32 million manipulation sequences and more than 480 scenarios. Those figures describe the broader processed corpus; the separately released HiFi-UMI-2K public subset contains about 2,000 hours and more than 482,000 episodes.

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Articles

Operations

Operating milestones

  • Operating milestone

    2026-09-04 - Simple AI reported that HiFi-UMI had processed more than 20,000 hours of demonstrations. - HiFi-UMI broader processed corpus

    Source
  • Operating milestone

    2026-09-04 - Simple AI reported more than 4.32 million processed manipulation sequences. - HiFi-UMI broader processed corpus

    Source
  • Operating milestone

    2026-09-04 - Simple AI reported corpus coverage across more than 480 scenarios. - HiFi-UMI broader processed corpus

    Source

Funding

Investors

  • Bozhou Industrial Investment - Participant - Strategic Industrial - 1 funding event - strategic/corporate - first seen 2026-09-04
  • GP Capital - Participant - VC - 1 funding event - first seen 2026-09-04
  • Kexi Capital - Participant - VC - 1 funding event - first seen 2026-09-04
  • Linear Capital - Participant - VC - 1 funding event - first seen 2026-09-04
  • Qianrong Capital - Participant - VC - 1 funding event - first seen 2026-09-04
  • Shangcheng Capital - Participant - VC - 1 funding event - first seen 2026-09-04
  • Shanghai Sci-Tech Innovation IP Fund - Participant - VC - 1 funding event - first seen 2026-09-04

Team

  • Li Xiaofei - Founder and CEO - Founder and CEO
  • Wang Jiawei - Chief Scientist - Chief Scientist

Timeline

Events

  • 2026-09-22 - Market Signal - Simple AI signs proposed Meizhi restructuring investment agreement

    The proposed contribution by Simple AI is RMB810 million within a roughly RMB1.81 billion consortium plan. The agreement sets an RMB8.725 per-share subscription price for the industrial investor, versus RMB10.765 for financial investors. Implementation depends on a viable restructuring plan and later court approval; Meizhi had not entered judicial restructuring when it filed the notice.

    Source
  • 2026-09-04 - Funding - Simple AI raises several hundred million yuan in Pre-A+ financing

    Kexi Capital, Shanghai Sci-Tech Innovation IP Fund, GP Capital, Bozhou Industrial Investment, Shangcheng Capital and Qianrong Capital invested alongside existing investor Linear Capital. Proceeds support embodied foundation-model research, data infrastructure, robot engineering and commercial deployment. Simple AI separately reported more than 20,000 hours and 4.32 million manipulation sequences across more than 480 scenarios; these are corpus metrics, not financing amounts.

    Source
  • 2026-06-16 - Funding - Simple AI raises several hundred million yuan Pre-A for embodied robots

    Didi led the round, with participation from Plum Ventures and Keli Sensing. Funding supports model upgrades, embodied data systems, core hiring and family-oriented application deployment. The capital supports commercial automation and autonomous-system workflows as Simple AI moves toward broader commercial use.

    Source

Context

Comparable profiles

Shared workflows

Context tags

  • Embodied robot development - Workflow - Develops general embodied-intelligence robots.
  • Embodied AI world models - Stack Layer - Simple-World Model work.
  • Industrial embodied-AI development - Workflow - General embodied robots and world-model systems.