Open Platform Architecture
The spatiotemporal intelligence base is built on an open architecture that integrates third-party data, algorithms, and applications for rapid scenario deployment.

A 3D digital base integrating city, airspace, route, weather, and low-altitude operational data.




The spatiotemporal intelligence base is built on an open architecture that integrates third-party data, algorithms, and applications for rapid scenario deployment.
Deepinnet's AI modeling capabilities enable cost-efficient, high-precision reconstruction of real-world environments with object-level semantics.
Large-model and machine-learning capabilities are packaged into practical models for urban governance and low-altitude operations.
The platform fuses government, IoT, enterprise, and third-party scenario data to deliver actionable panoramic data services.
Combines route planning, order dispatch, delivery tracking, and settlement to improve same-city logistics efficiency.

Provides route resources, operating rules, and situational awareness for future eVTOL and urban air mobility services.

Supports rapid aerial sensing, material delivery, and command linkage for emergency and disaster-response scenarios.

Uses low-altitude data and flight resources to support precise, efficient agricultural inspection and plant-protection work.
