Scheduling efficiency improved by 80%! SenseTime's large-scale computing platform helps the first batch of intelligent agents land in Shanghai's quantum city.

What happened: SenseTime's large-scale computing platform helped launch the first batch of Shanghai quantum city government agents, built on the upgraded Yunyu Xingkong large model. Three agents handle flood control, spatial insight, and planning updates. Key numbers: 80% scheduling efficiency gain; 65% spatial computing and 70% dynamic simulation gains; 13,000 Q&A Why it matters: The launch embeds model capabilities into urban governance workflows, with reusable industry skill components and an FDE co-creation model meant to shift projects from single builds to reused industry capability.

SenseTime's large-scale computing platform helped launch the first batch of Shanghai quantum city government agents, built on the upgraded Yunyu Xingkong large model. Three agents handle flood control, spatial insight, and planning updates.

The launch embeds model capabilities into urban governance workflows, with reusable industry skill components and an FDE co-creation model meant to shift projects from single builds to reused industry capability.