
Touchnet Technology
Industrial IoT solutions for manufacturing automation and digitalization.
Date | Investors | Amount | Round |
---|---|---|---|
$1.5m | Series A | ||
Total Funding | 000k |
Hangzhou Touchnet Technology Co., Ltd. is a company specializing in the research, development, and application of Internet of Things (IoT) systems for industrial manufacturing. The company provides a suite of products and platforms aimed at improving automation and data-driven management in factories. Their offerings include MES (Manufacturing Execution Systems), low-code development platforms like XUI Design Studio, intelligent data acquisition hardware such as the T-BOX, and the Fogthing IoT service platform.
Touchnet's core business revolves around providing integrated solutions for equipment connectivity and monitoring, enabling clients to achieve comprehensive visualization, data interaction, and analysis of their machinery. The company's IIoT platform facilitates functions like real-time process parameter monitoring, historical data analysis, equipment status tracking, and energy consumption analysis. Their hardware products, including industrial touch-integrated machines and data collectors, support these software platforms by gathering data from various industrial equipment. The business model includes providing general data acquisition, customized MES development, and ongoing platform maintenance services, creating continuous revenue streams.
The company targets a range of manufacturing sectors, with a significant client base in the die-casting, automotive parts, machinery, and home appliance industries. Touchnet is located in the AI Town of Hangzhou, China.
Keywords: Industrial IoT, IIoT, manufacturing execution system, MES, smart manufacturing, factory digitalization, equipment connectivity, data acquisition, low-code platform, automation solutions, industrial touchscreens, edge computing, die-casting industry, automotive parts manufacturing, process monitoring, energy management, equipment lifecycle management, predictive maintenance, IoT platform, data visualization.