Hangzhou Renlian Technology Co., Ltd.

Hangzhou Renlian Technology Co., Ltd. was founded and is a national high-tech enterprise that provides solutions and products for the Internet of Things (IoT) and big data. It is committed to the research and development of domestic controllable intelligent, low-power IoT, edge computing and other software and hardware products.

The company has independently developed RFD electronic vehicle plates and edge intelligent gateways that meet national standards, enabling the monitoring, capturing and trajectory playback of non-motor vehicles and special motor vehicles. The new generation of non-perceptual and high-precision RFID access recognition solutions and products are widely used in multiple scenarios such as campus non-perceptual attendance, asset in-and-out of warehouses, asset inventory, and factory attendance. They are easy to deploy and have a high accuracy rate. In the livestock industry, the precise temperature measurement solution provided by Renlian (applied for invention patent) is leading in the industry, and the AI algorithm big data model of animal behavior has been recognized by overseas customers.

The company's founding team has a profound R & D background and resource advantages from Huawei, with strong technological accumulation in the fields of gateways, IoT sensors, and cloud platforms, providing customers with stable and reliable solutions and products.

The company was established in 2017. In 2023, it obtained the title of "Specialized, Sophisticated, Special and New" enterprise. It has been rated as a national high - tech enterprise twice (in 6 years), won the "Gazelle Plan" and "Young Eagle Enterprise" in Hangzhou, and was awarded as a technology - based small and medium - sized enterprise.

With its profound product R & D strength, the company has become a strategic partner of Anbang Guarding Group (stock code: 603373), the leader in the public security field, and has become Anbang Guarding's strategic layout partner in the intelligent - security campus IoT. In the intelligent transportation field, it has cooperated with many enterprises such as Beijing Wanji Technology (300552), Ningbo Zhi'an, Zhejiang Jia'an, and Shanghai Ruizhang in the traffic management of non - motor vehicles, solving the difficult problem of non - motor vehicle traffic management. It has provided a total of 3 million tags and 100,000 gateways. In the asset management field, it provides food - ingredient management tags for the world's leading fast - food enterprises. The products are mature and stable, with a cumulative shipment of 3 million tags, creating huge economic benefits for customers. For campus attendance, vehicle access management in 45 stores, factory attendance, etc., it has provided a total of 1 million cards and thousands of sets of attendance gateways, which are simple and efficient to use.

Hangzhou Renlian Tui Technology Co., Ltd. specializes in the applications of active RFID digital assets and personnel positioning management. By leveraging various integrated positioning technologies and products such as communication networking methods, transmission distances, concurrent quantities, and positioning accuracies, it customizes software and hardware products for customers' application scenarios and provides overall solutions. It has achieved results of over 10 million terminals, more than 3 million units of single products, and a concurrent volume of over 2,000. It has created classic scenarios and applications for active RFID digital asset management.

At present, Renlian is committed to applying biological assets to the livestock industry. Actively responding to the national strategy of rural revitalization, taking the financial supervision of beef cattle loans as the starting point, and aiming at different scenarios such as domestic captive breeding, semi-free range breeding, and free range breeding, it independently develops a variety of livestock ear tag terminals, gateways, AI recognition weighing and other hardware, and cooperates with multiple banks to build platforms such as the financial supervision platform for beef cattle loans and the big data platform for the integration of the livestock industry.

Since its establishment in 2017, through the construction of the RFID metropolitan area Internet of Things, the company provides software and hardware products, as well as urban area management solutions for vehicle-related issues such as "city - scale" electric vehicle anti - theft, electric vehicle/agricultural vehicle traffic management, and electric vehicle recycling and trade - in; solutions for "Smart and Safe Campus" and "Safe Campus" that involve school - campus - off - campus linkage and multi - department collaboration for students; and solutions for urban pet registration and epidemic prevention management. It has achieved results including serving over 32 cities, more than 5 million users, having 6 mature metropolitan area solutions, and generating over 30 billion pieces of data annually.

Leveraging the experience accumulated over the years in the metropolitan area Internet of Things, based on the "one network" of the metropolitan area Internet of Things, the company actively explores new urban digital technologies and services such as unmanned aerial vehicle (UAV) three - dimensional security, UAV urban inspections, and applications in the low - altitude economy. In the services of the metropolitan area Internet of Things, a large amount of data is generated, such as traffic flow, travel time, location trajectories, etc. Through the big data platform, these data can be accurately collected, and valuable decision - making assistance can be provided to customers based on the data, thereby unlocking the value of the data.

The DNA of Renlian lies in hardware innovation, enabling the implementation of artificial intelligence capabilities on embedded devices. Embedded AI is our main focus. We make full use of the sample data and computing power of the devices, and it has the advantages of reducing data transmission costs, ensuring data security, and guaranteeing the real-time nature of reasoning and decision-making. Through AI sensors, we conduct abnormal fault diagnosis on large-scale equipment in operation to reduce the losses caused by unscheduled stops.

Sensors are the "root" of the Internet of Things. We continue to deeply explore AI sensors, accumulate data from specific industries, and gradually form core competitiveness in niche areas through machine learning. There are also niche applications such as AI diagnosis of elevator anomalies and fault diagnosis of large-scale equipment.