Four AI scenarios (care, security, recognition, alerts), plus model invocation and AI Agent, put AI capabilities into your products and business workflows.
Delivery Cloud service billed by usage. Can also be delivered with a private cloud or a scenario solution, with lightweight inference at the edge.
Illustration Four AI scenarios
All proven in real projects. Use them one scenario at a time, or as a complete set.
AI Care
Detects falls, long inactivity and unusual behavior, and alerts caregivers and family.
AI Security
Detections trigger access control and video.
AI Recognition
Image and video analysis can be built straight into your product.
AI Alerts
Alerts are graded before they’re sent, cutting needless interruptions.
AI capability map
AI sits at the same layer as the IoT platform, and both are infrastructure. Device data gets in, and model results get out. Device data and industry data are combined to support predictive maintenance, visual recognition and business optimization.
Capabilities
Billed by API calls. Can also be delivered with private cloud or a scenario solution, with lightweight edge inference supported.
Model services for human presence detection, anomaly recognition and sleep assessment. Also recognizes falls and abnormal behavior and analyzes images and video. Billed by usage.
Covers AI care, security, recognition and alerts. On the operations side it works as a work order assistant and Q&A helper, giving alarm summaries and handling suggestions.
Connects large models such as DeepSeek, Tongyi Qianwen (Qwen) and Wenxin Yiyan (ERNIE Bot) for real-time analysis of multi-source data and intelligent decisions.
AI training, the data lake and algorithm models are kept in one place, with centralized training in the cloud and distributed inference at the edge.
Combined with communication modules and the cloud platform, traditional products gain AI functions directly, with no need to build an algorithm team.
Why Xiaowei
Device data, alerts and models close the loop on the same foundation, with no data shuttling between two vendors.
Device data, alarms and the model loop run on one base, which cuts integration cost.
Upfront investment stays controlled and you pay for what you use, a good fit for product trials and scale-up stages.
We build up proven scenarios first (care, security, energy), and avoid vague "industry large models".
Manufacturers do not need their own algorithm team, and avoid the high trial-and-error cost of in-house development.
Tell us your product form and the smart functions you expect, and we will help you decide between model invocation, Agent or a full solution.
