Focused on manufacturing AI
Beijing Inequality Technology Co., Ltd. was founded in June 2023 and is headquartered in the Yanxi Economic Development Zone, Huairou District, Beijing. The company develops its own factory data layer, Tianxia Gongchang, and on top of it provides manufacturing AI agents, industry AI systems and industry research.
The data layer combines public-information aggregation, factory-credential verification and production-capacity profiling to reorganize fragmented factory data into evidence that directly supports business decisions. It serves three kinds of users: sellers of products and services to factories, procurement and supply-chain teams sourcing and auditing factories in China, and developers who call the data layer from their own products.
- 4.8M
- Factory records
- 1.8M
- Factories with export business
- 1,965
- Industry niches
- 1,000+
- Industrial clusters, down to township level
- 100,000+
- Registered users
- 200+
- Leading enterprise customers
Industry background
Factory-level data has long lacked systematic organization
- 01
Public data stops at the business registry
Registry information shows that a company is incorporated, and B2B directories show that it advertises; what it currently produces, how much capacity it has, who decides and which credentials it holds have no reliable public source.
- 02
It is hard to tell whether a company is a factory
A company registered under "machinery manufacturing" may be a machining plant or a small trading firm, and a considerable share of "factory" storefronts on e-commerce platforms are traders. Users typically spend significant time separating actual factories from intermediaries.
- 03
Both sales and procurement are constrained
Salespeople entering a new industry rely on bulk registry exports, spreadsheet filtering and existing contacts; sourcing teams looking for factories with the right specification, capacity and credentials in an unfamiliar category still start from trade-show directories and referrals.
- 04
AI agents offer a new technical path
Product pages, equipment lists, hiring records, plant imagery, tender records and trade-show directories are cross-validated to rebuild usable factory records, which are then delivered in the way each kind of user works.
Business
Four lines of business in manufacturing AI
The factory data layer is the common foundation. On top of it, the company provides role-oriented AI agents, industry-oriented AI systems, and industry research grounded in the same data layer.
01 — Factory data layer
Tianxia Gongchang · Open platform
Structured records covering 4.8 million Chinese factories. Users search and query on the platform; business systems and AI clients access it through MCP and REST interfaces. The other three lines of business are all built on this data layer.
About the platform →
02 — Manufacturing AI agents
Seven job families, 26 capabilities
Covers sales, marketing, procurement, planning, finance and legal, export, and market intelligence, including tender-document and BOM parsing, supplier sourcing and RFQ, intelligent outbound calling, production scheduling and risk monitoring. Agents read both the factory data layer and the company’s own business data, and write results back into existing systems.
View the capability list →
03 — Industry AI systems
Smart parks · Intelligent procurement
Integrates the factory data layer, AI agents and industry-specific business rules into complete business systems. Two directions are currently covered: investment promotion and energy management for industrial parks, and intelligent procurement for manufacturers.
View the systems ↓
04 — Industry research
Tianxia Gongchang Research
Publishes industry panorama reports, cluster and regional industry maps, and white-paper studies. Research is grounded in the same factory data layer; findings are published openly and may be cited.
Visit the institute →Milestones
From a data foundation to industry systems
-
Company founded
Beijing Inequality Technology Co., Ltd. registered in the Yanxi Economic Development Zone, Huairou District, Beijing.
-
Data foundation and core business system completed
The factory data foundation, initial commercial pilots and the core business system were built.
-
Mobile release
The product extended from desktop to mobile.
-
Verified-factory identification released
The factory database entered its scale-up stage.
-
Tianxia Gongchang desktop site rebuilt
The AI entry point and conventional search were unified.
-
AI factory search fully released
Requirements described in natural language lead directly to candidate factories.
-
Corporate website relaunched
The data-asset protection system was upgraded at the same time.
Market position
Focused on factory data, verification and callable interfaces
The company does not operate a marketplace or storefronts. Its relationship to adjacent products is as follows.
Team
From industry, AI and search
Team members come from industry, artificial intelligence, search infrastructure and B2B sales tooling. Most had already worked on concrete customer-acquisition or sourcing problems before joining, with backgrounds spanning supply-chain SaaS, cross-border e-commerce, industrial IoT, search engines and data engineering. The company works in an engineering-led way, with product, data and sales advancing in parallel.
Three working convictions
- 01
Data should be rebuilt from first-hand information
Factory-level data should be rebuilt from first-hand information, avoiding reliance on registry lists that have changed hands several times.
- 02
AI agents are an effective way to reconstruct a factory
Cross-validating real business information to reconstruct the full picture of a factory outperforms keyword retrieval.
- 03
The value of factory data has long been underestimated
Once the data layer exists, sales, procurement, supply-chain compliance, industry research and industry systems can all be built on it.
Customers
Who uses Tianxia Gongchang
Tianxia Gongchang has more than 100,000 registered users, including over 200 leading enterprise customers, from multinationals and listed companies to specialised manufacturers. A selection, in no particular order.
Logos indicate a customer relationship only; trademarks belong to their respective owners.
Company information
Registration and licences
- Legal name
- Beijing Inequality Technology Co., Ltd. (北京不等式科技有限公司)
- Founded
- June 2023
- Headquarters
- Yanxi Economic Development Zone, Huairou District, Beijing
- Legal representative
- Guo Kexin (郭可欣)
- CFO
- Peng Xiangrui (彭湘锐)
- Registered trademark
- 天下工厂 (Tianxia Gongchang)
- Wholly owned subsidiary
- Yichang Detta Technology (宜昌德塔科技有限公司)
Licences
- Value-added Telecommunications Business Licence: 京B2-20251096
- ICP filing: 京ICP备2023018938号-4
- Public security network filing: 京公网安备11010102007371号
- Publication Business Licence: 新出发京零字第海250768号
Contact
Get a manufacturing AI solution
Tell us your industry and business scenario and we will propose a suitable product mix and implementation plan. You can also sign up for Tianxia Gongchang directly to try factory data search and the AI agents.