Use AI to subvert traditional business cognition, precise industry insights, high efficiency and low operation and maintenance, and promote the digital transformation of enterprises. Possess the ability to mine knowledge, construct knowledge graphs and Ontology based on unsupervised learning. By mining and analyzing large-scale data, and applying accumulated industry knowledge and NLP capabilities, the traditional human-based knowledge engineering process can be automated, which greatly improves the efficiency of map construction and reduces the threshold of map construction. The fully self-developed ASR/TTS model, combined with self-collected training data and SOTA speech recognition algorithm, and the industry's best industry NLU capability language model, optimizes model performance for different business scenarios. With a complete training platform, it can support completely customized training for vertical fields.