Leveraging AIoT sensing and analytics to help industrial manufacturers
achieve predictive maintenance, intelligent production control, and digital transformation
Deeply integrating sensors, IoT, AI algorithms, and industry know-how to enable end-to-end intelligent transformation from sensing to decision-making.
Smart sensors perceive equipment operating conditions and production status in real time, quickly identifying potential anomalies.
Industrial Ethernet and fieldbus local deployment builds a highly reliable data acquisition network — millisecond response with data kept on-premise.
AI algorithms precisely detect equipment anomalies, production line losses, and quality fluctuations — boosting efficiency and reducing unplanned downtime.
Covering equipment health, centralized monitoring, visual inspection, and AI assistant — meeting all-round needs of industrial scenarios.
AI/ML-based equipment health monitoring and predictive maintenance platform. Integrating vibration monitoring, temperature analysis, and oil analysis with multi-dimensional data to predict failures 15–30 days in advance, reducing O&M costs by 40%.
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Factory equipment centralized monitoring system with real-time visual dashboards tracking equipment status, production line efficiency, and anomaly alerts across the entire plant.
Learn More →Deep learning-based industrial visual inspection that automatically identifies surface defects, dimensional deviations, and assembly anomalies — improving yield rates.
Learn More →Your industrial intelligence advisor. Powered by large language models and an industry knowledge base, it provides equipment fault diagnosis, O&M knowledge Q&A, and smart document retrieval. Available as a standalone product or integrated into the predictive maintenance platform.
Learn More →Deeply integrating products and technology with industry scenarios, delivering professional digital transformation solutions for clients across different sectors.
End-to-end digital management for discrete and process production lines — automated data collection, predictive maintenance, process optimization, and quality traceability.
Learn More →IoT-based data collection and analytics for real-time monitoring and optimization of equipment and production line energy efficiency — driving energy savings and emission reduction.
Learn More →Smart ColdGuard hardware-software kit uses composite sensors and wireless IoT for real-time monitoring of temperature, vibration, and container status throughout the cold chain.
Learn More →Helping clients across sectors turn massive data into precise, actionable decisions for efficient digital transformation.
Wind turbine gearboxes, main shafts, and pitch drives are monitored in real time. WYSEngine predicts failures 15–30 days ahead, enabling targeted inspections and spare parts preparation — maximizing energy capture and minimizing unplanned downtime.
Unexpected shutdowns in petrochemical plants carry enormous safety and financial risk. WYSEngine continuously monitors compressors, pumps, and rotating machinery — delivering early fault warnings that cut unplanned downtime and reduce high-risk manual inspections.
Through predictive maintenance and quality monitoring products, we support clients in achieving high-quality order delivery and optimizing production costs. Our complete hardware-software solution covers the full chain from sensors and equipment IoT to business value analytics.
Predictive maintenance and quality monitoring products help increase production line availability and address defect issues caused by sub-optimal equipment conditions — ensuring product quality and delivery efficiency.
Collecting data from reflow soldering, wave soldering, SMT placement, screen printers, and packaging machines to build predictive maintenance models for critical equipment — helping engineers significantly improve equipment efficiency and product quality.
Tell us your needs — our expert team will craft a tailored digital transformation solution for you.