At the 2026 Apsara Conference, Alibaba's Amap launched 'Qianyu', an open platform for spatial intelligence. Packaging over 80 million POIs, 5 million kilometers of roadway, and 7,500 square kilometers of 3D spatial models into modular Agent primitives, Qianyu exposes 56 MCP (Model Context Protocol) capabilities and 23 Skill APIs to empower physical robots, delivery drones, and autonomous vehicles.
Key Takeaways
- ✓Expands AI from digital text comprehension into physical spatial decision-making and environmental reasoning.
- ✓Releases 56 standardized MCP tools and 23 Skill endpoints compatible with Claude, Qwen, and DeepSeek agents.
- ✓Delivers vertical agents across transportation, logistics, and robotics, accelerating spatial routing by 8.4x.
- ✓Accessible via the Amap Open Platform with both no-code visual configuration and full API SDKs.
Key Decision Metrics at a Glance
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Project Links & Resources
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Core Background & Industry Pain Points
While foundation models excel at abstract reasoning, they lack spatial awareness of physical distances, 3D topographies, and dynamic road constraints. Invoking raw mapping APIs frequently confuses LLMs, producing invalid routes such as directing autonomous vehicles across pedestrian overpasses. Robotics and drone fleets require an operational layer that bridges digital reasoning with physical geometry.
Architecture Highlights & Internals
Qianyu introduces a multi-tier spatial intelligence architecture: a spatial hypergraph unifying 80M+ POIs and dynamic traffic layers into traversable node graphs; native Model Context Protocol (MCP) servers exposing 56 spatial analytical tools; and an aerial-ground coordinating fabric that manages multi-agent handoffs between delivery drones and ground rovers.
Authoritative Benchmarks & Measured Scores
On complex enterprise logistics benchmarks, Qianyu-equipped agents synthesized multi-stop routes in 12 seconds—an 8.4x speedup over conventional combinatorial solvers. Physical constraint validation reached 99.8% compliance, while 3D aerial collision avoidance routines achieved sub-45ms recalculation latencies.
Developer Hands-on Guide
Developers can integrate Qianyu MCP servers into Claude Desktop, Cursor, or OpenHands via the Amap Open Platform, leveraging conversational prompts for automated urban site-selection and route-planning workflows.
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