In the field of intelligent manufacturing, solutions need to be optimized and designed according to industry characteristics to adapt to the complex needs of specific fields.

Fragmented scenarios require cross process stages and system integration to achieve full process data coverage and unified management.

Flexibility is key, and solutions need to quickly respond to industry changes, meet diverse customer needs and market adjustments.

The intelligent decision-making system effectively ensures balanced and continuous operation of production tasks, optimizes resource allocation, and ensures efficient execution of production plans.

The decision-making system supports enterprises to quickly respond to changes, meet high-frequency judgment and decision-making needs, and help achieve precise production management.

By automating repetitive tasks, reducing human intervention, improving work efficiency, reducing the risk of operational errors, and optimizing enterprise operation processes.

By combining speech models, large-scale models, and vectorized models, we aim to build powerful multimodal capabilities to meet the intelligent needs of data in multiple scenarios.

Through RAG technology and prompt optimization, precise intent recognition and efficient SQL generation are achieved, improving data interaction efficiency.

Provide complete data intelligent Q&A function, provide reliable support for enterprise decision-making, and assist in digital transformation and intelligent upgrading.