Model as a Service

Core Value

Key Challenges

Irrelevant responses

General models fail to understand the specialized terminology and business logic of the industry.

Knowledge lag

The model lacks the enterprise's specific internal knowledge and the most up‑to‑date data.

Risk exposure

Build an AI assistant with deep understanding of industry jargon, workflows, and regulations.

Solutions

Dedicated Expert

Build an AI assistant with deep understanding of industry jargon, workflows, and regulations.

Knowledge Injection

Transform your product manuals, contract templates, and historical cases into the model's core knowledge.

Accuracy and Reliability

Significantly reduce error rates, delivering content that is more precise and better aligned with business requirements.

STEP 1

Data Construction

STEP 2

Model Selection

STEP 3

Fine-Tuning

STEP 4

Model Inference