Zhongke Wenge

An enterprise-level AI service provider founded by the team from the Institute of Automation, Chinese Academy of Sciences, with an official positioning of "More than just models, from data to decision-making". With the self-developed YAYI large model as the core, it provides the DIP Decision Intelligence Platform and the Decision Machine Decitron.

AI Market Research#Enterprise AI#Decision Intelligence#LLM

Updated: 2026-10-26

What is Zhongke Wenge?

Zhongke Wenge is an artificial intelligence company founded by a team from the Institute of Automation, Chinese Academy of Sciences in 2017. Its official website describes it as an "artificial intelligence technology service provider". Unlike general data platforms that treat AI as an additional module, its product system is built upward from the basic large models: the underlying layer is the self-developed YAYI large model, the middle layer is the DIP Decision Intelligence Platform, and the top layer is applied to specific business decisions. The official positioning statement is "Beyond models, from data to decision-making, building an enterprise-level artificial intelligence full-stack technology infrastructure".

Who is it for?

Large enterprise strategy, marketing and data teams that need to integrate internal multi-source data into decision-making basis.
Government and scientific research institution customers who value independent controllable technology and require that data not leave the intranet.
Analysts engaged in business intelligence, industry research, and public opinion monitoring who hope to use AI to replace manual report summarization.
Enterprise technology teams that need to build intelligent agents (Agents) for complex business scenarios.

Key features

YAYI Basic Foundation Model

Officially stated to be jointly built by the Institute of Automation of the Chinese Academy of Sciences and the core technology teams of Tsinghua University and Peking University. It achieves full-chain independent and controllable data, algorithms and models. Positioned as an "independent and controllable enterprise-level foundation model", it can provide implementable intelligent capabilities for specific scenarios.

DIP Decision Intelligence Platform

The official description states that it "turns data into an AI-understandable 'business world'", organizing multi-source heterogeneous data into a form that machines can reason with, serving as the central platform within the full-stack system.

Decision Machine Decitron

The official website describes it as an "AI decision engine for complex systems," focusing on a decision closed loop from signal perception to future deduction, used to simulate the outcomes that different choices may lead to.

Longgong Claworks Enterprise-level Agent Operating System

An operating system layer product for the construction and scheduling of enterprise intelligent agents, officially positioned as the infrastructure where government and enterprise-level secure AI assistants reside.

Panshi Large Model ScienceOne

Officially described as a "one-stop scientific research platform that builds an AI operating system for next-generation scientific discovery", it is an integrated general and specialized basic model for scientific research scenarios.

How to use Zhongke Wenge

First, clarify which layer of problem you want to solve: if you need model capabilities, go with YAYI.
if you need data integration, choose DIP.
if you need to conduct deduction, opt for Decitron.
Don’t try to go through the entire tech stack right away.
The official website mainly focuses on solutions and product introductions and does not have a self-service trial portal for individuals.
For actual procurement or trials, it is recommended to directly contact the business team through the contact information on the official website and first ask for case materials tailored to your own industry.
The effectiveness of decision-making products highly depends on data quality and business specifications.
before integration, first clarify the sources, update frequencies and authorization status of your own data.
The official product line is extensive and continuously updated.
The specific version capabilities, delivery methods, and quotation shall be subject to communication with the official website and business personnel.
for internal data migration to the cloud, it is essential to first confirm the deployment mode (private cloud or public cloud) and compliance boundaries.