Based on preset basic operators, it can save 80% of the model's learning data and shorten the average model optimization time by 50%. Accelerate industry customization of AI solutions, shorten to 4 weeks
Build intelligent operators based on different scenarios, such as LCD chip operators, CNC grinding machine operators, tool operators, etc.
The model based on multi-layer stacking algorithm can reduce the misjudgment rate by 12% on average compared to general artificial intelligence algorithms
Support cloud native resource orchestration to reduce computing resource waste, with an average cost savings of 15%
The industrial brain provides learning data for AI, and the AI prediction results are feedback to the industrial brain to form a closed loop, maximizing the efficiency of AI in production optimization. AI empowers quality optimization, resulting in an average 18% decrease in defect rate after optimization
Having numerous senior experts in digital transformation of the manufacturing industry, with a deep understanding of the manufacturing industry.
Having rich experience in implementing digital software solutions, with over 100 digital projects
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