At Chinaplas 2026, one of the largest events for the plastics and rubber industries, Haitian is set to present X-Injection, a new-generation AI solution developed for injection molding applications. According to the company, the system uses advanced artificial intelligence algorithms and a native edge-to-machine coupling architecture, acting as an “external AI brain” and enabling practical implementation of AI in injection molding on a global scale. The solution is intended to focus on process setup, optimization, and monitoring in serial production.
Haitian notes that despite the widespread use of automation in manufacturing, injection molding still relies heavily on operator experience. The company identifies three recurring issues: a shortage of skilled technicians, limited transparency of production deviations, and inefficient machine setup and process optimization. X-Injection Molding Cloud has been developed to address these challenges, with the aim of increasing the adaptability and scalability of process setup and supervision.
The physical carrier of the system is an industrial-grade edge computing device designed for demanding shop floor conditions. The solution is intended to integrate directly with Haitian injection molding machine controllers while also providing connectivity to cloud computing resources. Haitian reports that since 2025 the system has been deployed at customers in the home appliance, automotive, and 3C segments, and that its use cases include complex processes such as multi-component molding and sequential valve gating in hot runner systems.
Four key AI functions
X-Injection Molding Cloud is intended to be built around two areas, setup optimization and production process “health”, and to include four core functional modules.
First-shot parameter recommendation
For new molds with no historical data, the system is intended to recommend initial process parameters within seconds based on mold and material inputs. According to Haitian, the solution is designed to help less experienced users reach a capability level comparable to experienced process engineers.
Defect diagnosis and correction recommendations
For issues such as flash, sink marks, short shots, and flow marks, the system is intended to provide recommendations for parameter adjustments. At the same time, it is intended to learn from successful corrections, turning effective actions into reusable knowledge.
Early warning of process deviations
AI-based models are intended to detect even minor fluctuations and generate early warnings before quality deviations become visible. The system is also intended to support root cause analysis by linking deviations to potential sources, whether related to setup settings or external influences on machine behavior.
Advanced process toolbox and AI agent
The platform is intended to include tools such as DOE design, AI-based process prediction, what-if analysis, and multi-objective optimal setup recommendations. In addition, Haitian’s AI agent, X-Manubot, is intended to provide troubleshooting guidance based on extensive historical service data.
OEM integration as a differentiator
Haitian emphasizes that X-Injection Molding Cloud is differentiated by an advantage stemming from its role as an OEM. Unlike solutions that focus mainly on data collection and monitoring, the system is intended to go deeper into machine logic, process behavior, and production decision-making mechanisms. The company assesses that this native linkage between the machine and the intelligence layer is intended to provide a basis not only for parameter visibility, but also for practical process optimization.
The official presentation of the solution is scheduled to take place at Haitian’s booth during Chinaplas 2026, Hall 5.1, Booth C32.
