Tang Duyu, former head of multimodal large-model development for Huawei's Xiaoyi assistant, has founded Guanxing Shuzhi to pursue what he calls "proactive physical AI," arguing that AI should decide what needs doing and when from a continuously unfolding event stream instead of only executing explicit human commands. The team's two-model ProAgent architecture pairs a lightweight StreamingJev sentry that reads environmental events and flags whether intervention is needed with a Response Model that judges the situation, plans a response and chooses which device to use, a split the company says keeps inference cost and latency down. It also built ProactiveXBench, which scores the full intervention trajectory on timing, progress and outcome, and says its model outperforms general-purpose systems such as GPT-6 on certain timing metrics; the capability has been deployed first on a Reachy Mini robot across 60 cases covering guidance, warnings and interaction.