A Globally Leading AIoT Development and Cloud Service Platform
Client Overview
Uascent Technology (Uascent) is a high-tech enterprise providing one-stop artificial intelligence and AIoT solutions, dedicated to building a globally leading intelligent and digital service platform.
With industry-leading technical capabilities and comprehensive, mature product offerings, Uascent provides customized deployment of cloud platforms that enable the intelligent interconnection of all things, empowering customers' intelligent transformation needs and enhancing their product competitiveness and value.
Because of its outstanding technical strength, Uascent has successfully entered the supply chains of global top-tier brands in the smart home appliances and smart lighting sectors, and has established in-depth technical cooperation with platforms such as CSA, AWS, Google, Alibaba, and JD.com.
Business Background
With the development of IoT technologies, smart small home appliances have become an indispensable part of modern households. In 2024, the global small home appliance market reached USD 254.3 billion. In China, the smart small home appliance market reached RMB 192.4 billion in 2023 and is expected to grow to RMB 228.5 billion by 2025. Survey data shows that the vast majority of consumers (98.1%) are willing to purchase smart small home appliances. However, there remains a gap between the performance and intelligence of smart small home appliance products and consumer expectations. In addition, some manufacturers prioritize marketing gimmicks over product quality, which has prevented product penetration from reaching an explosive growth phase.
Uascent Technology provides integrated, high-performance solutions in the smart small home appliance sector. In terms of service, Uascent offers multiple home scenario linkage control methods, allowing users to view consumable usage in real time via an app, while also providing both local and cloud-based scheduling and timing functions. In terms of product categories, Uascent supports multiple types of appliances, including heating appliances and environmental appliances.
Business Pain Points
Uascent provides a mobile application that allows users to control the home appliances remotely (such as power on/off and mode adjustments). However, the current operation process is complex, involving multiple steps, and the user experience still requires improvement. To address this issue, Uascent aims to integrate an AI-driven "brain" into its smart IoT system by developing an intelligent voice assistant with natural language understanding and rapid response capabilities, and integrating it into a mini program. This will enable users to easily control home appliances through natural language, significantly reducing operation steps and enabling a more intuitive and convenient interaction method, thereby substantially improving overall product experience and user satisfaction.
Solution
By combining the vector capabilities of MatrixOne (hereinafter referred to as MO) with the Agent service capabilities of MatrixGenesis (hereinafter referred to as MG), the system understands users' natural language inputs, retrieves the corresponding instructions, and then issues a series of actions to the terminal devices.

MatrixGenesis is another AI service product provided by MatrixOrigin. In this case, MG's Agent service is able to understand textual information and convert it into data retrieval SQL for MO. As the storage and service provider for vector data, MO delivers fast vector retrieval services, returns the corresponding instructions to MG, and ultimately enables the intelligent management platform to issue operational commands to multiple terminal devices.

Customer Benefits
Improved product usability:
Compared with traditional button-based operations or direct voice commands (for example, "turn the heater on to level three"), AI-powered voice interaction based on semantic understanding significantly reduces operational complexity, allowing users to control home appliances through natural language interaction.
Scenario-based combination solutions:
By combining semantic understanding with instruction matching, multiple commands can be sent to multiple devices in a single interaction, achieving the effect of changing an entire scenario with one sentence and further improving the interaction efficiency of smart devices.
By enhancing the usability and convenience of customers' products, this approach helps narrow the gap between the actual performance of smart devices and user expectations, improves product competitiveness, and increases sales.