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EnglishAt the 10th Anniversary and AI Lingdang 1.0 New Product Launch Event, Lingdang announced that it will leverage its technical product capabilities—from data resource preparation to industry model training and model application—to help enterprises build their own dedicated AI.
Lingdang CEO Wuzhao: Building Dedicated AI Is a Systematic Project
Lingdang CEO Wuzhao revealed at the launch event that Lingdang has already deployed industry- and enterprise-specific large models and AI applications in sectors such as healthcare and industrial manufacturing. It has also developed its own AI customer service large model, which significantly improves customer service efficiency and satisfaction while reducing costs by 90%.
Wuzhao said, “Building dedicated AI is a systematic project. For enterprises, implementing dedicated AI involves four layers: data resources, understanding and reasoning, decision-making and action, and reflection and evolution. Lingdang provides end-to-end support—from data preparation to model training to autonomous decision-making—helping enterprises build dedicated large models and AI applications from scratch.”
Data Preparation: Turning Enterprise Knowledge Into a ‘Living Source’
In the data layer, Lingdang uses an AI search engine, an AI knowledge base, and a continuous data update system to help enterprises gather and organize knowledge that can be used for AI learning, ensuring that data serves as rich nourishment for training industry-specific large models.
Reasoning Refinement: Building an ‘Expert Large Model That Understands the Industry’
Decision-Making and Action: Deeply Embedding AI Into Business Processes
In the decision-making layer, Lingdang helps AI become deeply integrated into business processes, enabling autonomous analysis, system invocation, and operational execution to directly solve real-world problems. For example, in the metallurgy industry, Lingdang helped an enterprise build an operations optimization large model that automatically generates and executes raw material ratio plans, increasing product yield by nearly 10%.
Industry-Education Integration: Partnering With Zhejiang University to Build an AI Innovation Platform
To promote wider AI adoption across industries, Lingdang signed a strategic cooperation agreement with the Zhejiang Provincial Key Laboratory for Digital Intelligence Management and Decision-Making (Zhejiang University) to jointly create an ‘AI Industry-Education Integration Innovation Platform.’ By deeply integrating the technology platform with industry know-how, the two parties are working with expert professors to develop industry-specific large models and AI solutions.
Lingdang CTO Yisu: Self-Trained Models Are the Key Pathway
Lingdang CTO Yisu stated, “Enterprise-specific large models are set to experience explosive growth, and self-trained models will become the key pathway for enterprises to implement AI.” Currently, Lingdang has established an industry large model team, which not only drives efficiency gains and cost reductions internally but also delivers significant efficiency improvements to clients in fields such as healthcare, manufacturing, and finance.
AI Customer Service in Practice: Satisfaction Rises to 80%, Costs Drop by 90%
By training a dedicated AI customer service large model, Lingdang has increased genuine customer satisfaction from 30% to 80% while reducing customer service costs by 90%. In traditional service models, many customer requests go unanswered, and it is difficult to find human agents for online consultations, resulting in only 30% customer satisfaction.
To address this, Lingdang assembled teams specializing in data engineering, model training, and performance evaluation to train a dedicated customer service large model and use an AI agent to deliver automated service. Today, the AI customer service provides 24-hour instant responses, with significantly improved accuracy in answering questions. It can also connect with the product R&D department to follow up on customer needs, ensuring that ‘every issue receives a response, and every request is resolved.’
Since the AI customer service went live, Lingdang’s customer service costs have dropped dramatically, and the original customer service team has been transformed into an AI data engineering team, supporting more industries in implementing AI applications in customer service scenarios.
A Healthcare Industry Example: Doukou Gynecology Large Model Achieves 90.2% Accuracy
In the healthcare sector, Lingdang partnered with Yisheng Jiankang to successfully train the Doukou Gynecology Large Model (doukou.ai), whose capabilities rival those of a ‘professional doctor,’ setting a benchmark for industry large model development among small and medium-sized enterprises.
Lingdang provided Yisheng Jiankang with an end-to-end toolchain covering data governance, efficient training, and flexible deployment. The single training time for the model was reduced from 26 hours to 7 hours, and the diagnostic accuracy increased from 77% to 90.2%, significantly enhancing its practical utility.
Doukou’s product manager Chen Yu said, “Lingdang not only provides training resources but also shares its methodology, greatly improving our training efficiency and helping the model iterate and upgrade rapidly.”
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