What problem does urban intelligent operations solve?

Government data usually sits in data centers, business systems, thematic platforms, and GIS. The solution organizes city data, processes, spatial information, and events to support cross-department analysis, situational awareness, and coordinated response.

Which city data needs to be connected?

Data centers, business systems, thematic platforms, spatial data, event data, and documents. The exact scope follows existing systems and governance scenarios.

How is government data kept secure?

Scope, data-use boundaries, and confidentiality are confirmed before delivery. The system runs under permission control, tracing, and audit, without changing existing security accountability.

Government | Urban intelligent operations

Help city data understand governance, and let AI join city operations

Data fusion · Situational awareness · Coordinated governance

Core capabilities

01 | Understand city data so AI can read government work

Connect data centers, business systems, thematic platforms, spatial data, event data, and documents. With AI-assisted understanding and business calibration, turn scattered government data into information that can be related, used, and analyzed.

02 | Accumulate reusable intelligence for data governance

Package collection, cleansing, standardization, relationship analysis, and business rules as composable capabilities—assets that keep accumulating in government scenarios.

03 | Build a business ontology so AI understands urban governance

Model parties, relations, events, areas, processes, and rules so people, legal entities, matters, events, space, and resources become a governance context AI can use for analysis and decision support.

04 | Build government agents that join city operations

Agents call data, tools, and processes in business context, completing aggregation, analysis, judgment support, and task coordination under permission control and traceability.

05 | Expand across scenarios so industry apps keep growing

From government goals, compose ontology, Skills, and process capabilities into applications for data centers, urban governance, low-altitude economy, event management, and operations monitoring.

06 | Connect analysis to action so insight becomes governance value

Combine analytics, situational awareness, and processes into a loop from collection and related analysis to coordinated response—moving from reactive handling to proactive sensing and optimization.

FAQ

What problem does urban intelligent operations solve?: Government data usually sits in data centers, business systems, thematic platforms, and GIS. The solution organizes city data, processes, spatial information, and events to support cross-department analysis, situational awareness, and coordinated response.
Which city data needs to be connected?: Data centers, business systems, thematic platforms, spatial data, event data, and documents. The exact scope follows existing systems and governance scenarios.
How is government data kept secure?: Scope, data-use boundaries, and confidentiality are confirmed before delivery. The system runs under permission control, tracing, and audit, without changing existing security accountability.