Deeply understand the needs of the industrial field and provide targeted AI solutions.
Cover a variety of AI technologies such as images, NLP, and large models to meet the diverse needs of industrial enterprises.
The distributed architecture design supports high concurrency and high load, which can meet the needs of large-scale application of enterprises.
Unified platform management facilitates the deployment, monitoring and operation of industrial AI applications.
Data access, cleaning, labeling, storage, etc.
Support machine vision, NLP, large model, etc.
Model version control, online evaluation, one-click deployment.
Provides RESTful APIs to facilitate industrial system integration.
Raw material procurement forecast, inventory management, etc.
Optimization of reaction conditions, catalyst screening, etc.
Predictive maintenance, fault diagnosis, etc.
Energy consumption analysis, optimization of energy consumption plan, etc.
Manual detection has low efficiency and high missed detection rate, which affects the quality of components.
The battery defect detection system based on deep learning is developed to realize automatic quality inspection.
The defect detection rate is increased to more than 99 %, and the component qualification rate is increased by 5 %.
The oil refining process is complex, the influencing factors are many, and the optimization space is large.
By using machine learning algorithm, the optimization model of refinery process is established, and the process parameters are adjusted in real time.
The product yield is increased by 2 %, the energy consumption is reduced by 3 %, and remarkable economic benefits are created.
National High-tech Enterprise
Sichuan High tech Enterprise
"Galileo Platform"Rapid Deployment
Implementation Team one-on-one
National Industrial Internet
Alliance Working Group Core unit
200+Intellectual Property
10Year IoT Technology Accumulation
200+Industrial Cooperation Cases
3000K Access Equipment