Amap launches Qianyu, turning location data into no-code workflows

Why it matters

Qianyu extends Amap's established consumer mapping service into a no-code enterprise workflow pitch. Amap reported more than 170 million daily active users and more than 120 million service-related searches per day in 2025, but those figures say nothing about Qianyu's enterprise adoption. Its competitive case rests on packaging analysis into natural-language tasks, while Google, HERE and Mapbox already offer mature routing infrastructure.

Amap Platform general manager Cui Yong introduced Qianyu on September 24th, pitching the mapping business's location data and analysis capabilities as a platform for building AI agents without code. The launch places Amap's maps closer to business decisions such as where to open a store, how to assess a neighborhood and how to route a fleet.

Cui described the effort as turning spatial intelligence into ready-to-use agents for developers and enterprises. The announcement, made at Alibaba's 2026 Apsara Conference in Hangzhou, sets out Amap's preferred interface for those capabilities: task-oriented tools that users can direct in natural language, rather than workflows they must assemble from spatial data and analysis components.

Qianyu is an Amap product, with no standalone funding disclosed. AutoNavi, the mapping company behind Amap, was co-founded by Hou Jun and Cheng Congwu, according to its 2014 SEC filing covering fiscal 2013. Alibaba acquired AutoNavi in 2014 in a transaction valued at about $1.5 billion; the SEC filing documents the acquisition. Qianyu has no disclosed standalone funding, valuation, revenue or named investors. The launch presents it as part of Amap Platform, Alibaba's location-solutions business.

The corporate history is rooted in Beijing: AutoNavi's 2014 SEC filing covering fiscal 2013 listed its principal executive offices there. Qianyu was unveiled in Hangzhou, and the available materials do not identify a separate Amap Platform headquarters.

A consumer service becomes an enterprise workflow layer

Qianyu extends mapping and navigation capabilities Amap says are already used in its consumer products. In a company post dated September 10th, 2025, Amap reported more than 170 million daily active users and more than 120 million service-related searches per day. Those figures indicate the scale of the existing service; they do not measure Qianyu users or enterprise adoption.

Amap says Qianyu lets users issue natural-language instructions, then identifies the relevant geographic and time scope, gathers information, checks it against multiple sources and returns traceable recommendations. Its stated tasks include store-site selection, neighborhood analysis and demand heatmaps, which the company says can be packaged into agent-executable workflows rather than assembled manually over days.

The platform's organizing model, which Amap calls "Point-Line-Plane-Dynamic," combines points of interest, roads, buildings, regions and time-series information. As of August 2026, Amap said Qianyu included more than 80 million points of interest, over 5 million kilometers of roads and 7,500 square kilometers of 3D models. Those figures describe Qianyu's stated data base. Amap separately says its broader World Map service contains more than 300 million continuously updated points of interest and over 900 million address records.

On Amap's spatial-intelligence platform, the offer appears as a set of business and traffic tools: location evaluation, comparisons between candidate sites, area analysis and report generation. The site also describes interfaces and capabilities for commercial and traffic analysis. Qianyu is presented as a natural-language workflow layer that takes a business question through spatial analysis to a recommendation. The features and efficiency gains remain company claims; the launch gives no independent performance results.

The competition is still built around APIs

Qianyu enters a market where Google Maps Platform, HERE and Mapbox already sell location infrastructure and routing tools to developers and businesses. Their documented offerings include sophisticated fleet constraints. Google Maps Platform's route-optimization service supports multi-vehicle planning with time windows, vehicle capacity, driver hours and load balancing. HERE Tour Planning handles fleet routing with capacity limits and delivery time windows. Mapbox's optimization API documents vehicle-routing constraints including time windows, capacity, driver shifts and pickup and drop-off requirements.

Those products are primarily programmable infrastructure: developers define a routing or optimization problem and integrate the API into their systems. Amap presents Qianyu as a no-code, natural-language workflow for tasks such as site selection and neighborhood analysis, alongside spatial data and recommendations. The distinction rests on packaging and the intended user interface. The available materials do not show that Qianyu's analysis is more accurate or its routing technically superior. The announcement does not establish how Qianyu performs against those tools on common tests, or whether it can match their fleet-optimization features.

The commercial test is whether customers will pay to put Amap's data and recommendations inside their own operating systems and workflows. Amap has not disclosed Qianyu pricing, customer counts or revenue, so its consumer reach cannot yet be read as proof of enterprise adoption.

Amap is extending location tools beyond the map app

The launch also describes mobility features for scooters and motorcycles, including an "Eagle Eye Guardian" alert system for hazards such as rear-end collisions, dooring and vehicles cutting across a rider's path. Amap says its spatial solution supports Android, Linux, OpenHarmony and RTOS, and names Niu Technologies and Ninebot among mobility brands with which it is deepening collaboration.

For wearables, Amap says it is working with brands including Xiaomi and Qwen Glasses on voice-based nearby-place search, turn-by-turn directions and ride-hailing commands. These are company-described collaborations and use cases; the announcement does not give production volumes or independently verified deployment figures.

Amap also describes its World Map service as infrastructure for international apps and enterprise operating or dispatch systems. The service supports driving, cycling, walking and motorcycle navigation, according to the company, and is aimed at logistics, delivery, local-services and travel businesses. Amap says the service supports Chinese, English and local-language adaptation. Qianyu's stated data totals are smaller than the World Map figures, and the announcement does not spell out the licensing or technical relationship between the two services.

Amap's timing argument is that agents can help with physical-world tasks that depend on places, road networks and changing conditions, including store selection, fleet routing and rider safety. The product asks enterprises to trust both the underlying map data and the agent's steps from a prompt to a recommendation. Freshness, coverage and how well Amap's data fits an operator's own records will shape whether those workflows can be used repeatedly. The company says results are traceable, but has not shown how customers inspect the reasoning or handle incomplete data.

Cui's launch message is a bet on packaging: Amap wants its maps, mobility data and spatial analysis to become tools that software can call, rather than capabilities customers must assemble from scratch. Qianyu makes that proposition concrete through named workflows and a stated data base. Its prices, paying customers and production record remain undisclosed.