Industry: Industry Digitalization Region: Germany Transaction Price: US$ 1 million Transaction Method: Equity investment
Project introduction:
The company is a provider of industrial digital solutions headquartered in Germany, with more than 30 years of professional accumulation in manufacturing industry, and is committed to helping enterprises build digital, resilient and energy-efficient smart factories through software, services and technology. With the concept of "data shapes the future", the company focuses on building a safe, self-controllable and AI-capable data ecosystem for automobiles, machinery manufacturing and medium-sized manufacturing enterprises.
The company has developed a modular industrial Internet of Things platform ONCITE DPS for medium-sized enterprises. The platform adopts an open architecture based on microservices and integrates plug-and-play standardized software modules, covering production transparency, energy monitoring, traceability, serialization management, industrial artificial intelligence, Catena-X gateway and other functions. ONCITE DPS can realize the horizontal and vertical security networking from workshop level to enterprise level, complete data collection, near real-time analysis, visualization and secure transmission, and provide enterprises with end-to-end production process transparency and data-driven decision-making ability.
Highly modular and scalable, enterprises can start from a small scale, flexibly expand digital investment according to actual needs, and avoid one-time huge investment risks; In-depth industry adaptation and landing experience, its solutions have been successfully deployed in well-known enterprises such as Porsche-Schuler intelligent stamping workshop, covering many industrial fields such as metal processing and electronic manufacturing; Security and data sovereignty guarantee, the product has passed Catena-X standard re-certification, and participated in TISAX information security evaluation system to ensure the security, interoperability and sovereignty of production data in cross-enterprise collaboration; Through data-driven automation and real-time quality control, the platform can help enterprises to save energy and reduce consumption, increase production and reduce scrap rate, and greatly shorten decision-making and response time with AI assistance, thus building a more resilient digital production capacity under the background of rising resource prices and intensified market competition.