AI SHUPAI · TANGSHAN SHUPAI INFORMATION TECHNOLOGY

Turn scattered enterprise files into
executable data assets
and verifiable business outcomes

Starting with enterprise files, we connect products, services and research.
Bring AI into business, with a clear path from work to delivery.

ABOUT SHUPAI

Grounded in business.
Built for real outcomes.

ShuPai provides enterprise AI and digital transformation for businesses, industrial parks and industry service organizations. Starting with technology projects, intellectual property, policy applications and technology contracts, we organize documents, rules and workflows into manageable, reusable digital assets.

AI does not replace the enterprise’s final judgment. With explicit authorization and rules, it assists with retrieval, organization, drafts, completeness checks and validation. Responsible personnel still confirm key facts, professional opinions and external submissions.

Meet ShuPai

PRODUCTS & SOLUTIONS

Enterprise files. Real business value.

All products & solutions
OUR PLATFORM

Enterprise Data Asset Platform

Inventory documents and permissions, establish maintainable asset inventories and knowledge bases with sources and versions, then connect business execution, human review and delivery registers.

Explore the platform
ShuPai enterprise data asset cockpitData asset showcase ↗
Frequent and essential01

High-Tech Enterprise Certification

Organize R&D projects, commercialization evidence, personnel systems, intellectual property and financial criteria into a material gap list and evidence chain.

Qualification development02

Specialized & Innovative SME

Map core business, innovation capability and operating-quality data against evaluation criteria and maintain a long-term development ledger.

Asset portfolio03

Intellectual Property

Connect patent discovery, technical-feature analysis and filing roadmaps to the R&D process, turning IP into a reusable operating asset.

Policy opportunities04

Project and Policy Matching

Compare enterprise profiles with national, provincial, municipal and county policies, highlighting potentially relevant windows and eligibility conditions.

BUSINESS & GROWTH

Deliver an outcome. Build reusable capabilities.

ShuPai starts with document-intensive services that have defined workflows and clear accountability. Customer value lies in less rework, reviewable deliverables and traceable execution—not the number of AI agents used.

Business & productization path

Documents become assets

Maintain enterprise documents, object relationships and sources so subsequent work can reuse them.

Rules and review support delivery

Embed domain checks, exception handling and acceptance requirements in workflows, with human confirmation at key steps.

Productize repeatable capabilities

Validate end-to-end delivery before reusing configurations, templates, rules and delivery mechanisms. This is ShuPai’s development path.

Existing signage and setting for the Enterprise-grade Trusted AI Applications Laboratory

LAB & INNOVATION

Enterprise-grade
Trusted AI Applications Lab

Research and validation in enterprise knowledge engineering, controlled AI agents, workflow rules and traceable delivery. Existing settings, university collaboration and milestones are shown; operations and cooperation scope are subject to confirmed information.

University collaborationApplied researchDemonstration
Inside the lab

EXPERIENCE

See files become business outcomes

Explore demos
Enterprise document workflow demoProcess demo

FROM FILES TO REVIEW

A clear process.
Reviewable results.

Upload files, read information, organize materials, review and produce results. Explore the workflow through video and interactive demos.

LET’S CONNECT

Your next step in enterprise AI starts here.

Contact ShuPai

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AI ShuPai · Product Demo

How enterprise files become reviewable outcomes

Upload files → read information → organize materials → human review → generate outcomes

This simulated workflow uses sample data and does not represent a specific client or application result. Actual outcomes depend on source completeness, deployment configuration and human review. The demo interface is currently presented in Chinese.