Built on private domain data, more accurate and faster output, near-zero hallucinations. Full-chain AI support from feature engineering, model training/fine-tuning to underlying toolkits, easily building "0" hallucination, low-cost personalized exclusive data language models.
Three core modules building complete data science model capabilities
Watch the core functionality demo of DSM
Click to play video
One-stop feature development and management platform. Support full lifecycle management of feature computation, storage, serving, and monitoring. Provide 100+ pre-built feature operators, drag-and-drop feature construction, lowering the barrier to feature engineering.
Customized model training platform for private domain data. Support fine-tuning of mainstream open-source models like Llama, Qwen, providing advanced capabilities like RLHF and alignment training. Zero-code training workflow, allowing data scientists to focus on model effect optimization.
Model Context Protocol toolset. Standardized data access interfaces, enabling AI models to securely and efficiently access private domain data. Support tool registration, version management, permission control, ensuring data security.
Why choose DSM Data Science Model
Exclusive models based on private domain data, controllable data, trustworthy output. Fundamentally solving the hallucination problem of large models, enabling AI to truly understand your business.
Based on open-source model fine-tuning, training costs reduced by 80%. Combined with MCP Tools to reuse existing data assets, no need for redundant construction.
Deeply understanding institutional private knowledge and business logic. Models can use your terminology, follow your rules, output the answers you need.
Private deployment, data doesn't leave borders. Full-chain audit traceability, fine-grained MCP Tools permission control, ensuring data security and compliance.
Contact our AI experts for model customization solutions