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Physix Frontier · News Briefing Card (TMTPost · Aug 24, 2026)

Weifan AI Secures Over ¥100M to Scale Robot Edge Chips

KEY FACTS

  • Weifan AI completed a Seed+ funding round exceeding 100 million yuan, just three months after its previous multi-hundred-million-yuan raise.
  • The capital will fund mass production of BiGPU neuromorphic chips and commercial delivery of the BrainOS system and OmniRT tools.
  • The company proposes a fused big-small brain architecture to address insufficient edge computing power for robots and reliance on overseas toolchains.
  • Internal demos show their optimization achieves inference speeds above 10 FPS for 3B models at 60W power consumption.
  • Partnerships have been established with Leju and Haier, while the team expanded to 100 people within six months.

KEY DATA

>¥100MThis Round Funding Amount
>20FPSGR00T N1.6 Model Frame Rate (Jet
>10FPSGR00T N1.6 Model Frame Rate (Jet
100 PeopleTeam Size

PHYSIX OBSERVATION

Weifan AI aims to break the energy-efficiency bottleneck in embodied intelligence edge computing through an integrated 'chip + system + toolchain' delivery model. If it can achieve high real-time inference at low power and successfully replace foreign solutions, it will establish autonomy for domestic robotics at the core compute layer. However, one must remain wary of the engineering gap between lab data and large-scale industrial deployment, as well as practical challenges regarding ecosystem compatibility.

Source: TMTPost report