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Manufacturing AI
data foundation, agents and industry systems

Structured data covering 4.8 million Chinese factories, powering intelligent applications in customer acquisition, supplier sourcing, procurement and industrial-park operations.

4.8M Factory profiles
100,000+ Registered users
1,965 Industry niches
1,000+ Clusters
Tianxia Gongchang homepage: AI factory search and keyword search
Conversational search: a natural-language question answered with a summary, top picks and the full list

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.

Industry AI systems

AI integrated into end-to-end industry workflows

Industry AI systems deliver the factory data layer, AI agents and an industry’s own business rules as one integrated system. Two directions are currently covered: smart industrial parks and intelligent procurement.

Smart industrial parks

Park investment promotion and energy management on one factory data layer

Promotion
The system maps the upstream, peer and downstream companies around a park’s anchor industry; each node corresponds to a factory that can be contacted directly. It continuously monitors publicly verifiable relocation, expansion and new-build information, uses AI to pre-assess four landing conditions — premises, approvals, emission quotas and land — and completes the first round of intent conversations through intelligent outbound calling.
Energy
Designed for sub-metered parks, where the grid installs a single master meter and the park distributes power to tenants itself. The system performs monthly settlement under each province’s sub-metering policy, allocating the energy charge, line loss, power-factor adjustment and capacity charge of the grid bill to tenants item by item, so that tenant totals reconcile to the grid bill. Prepaid balance management, tiered alerts and tenant-type-specific disconnect policies are fully logged, and tenants can check balances and bill details in a mini-program.
  • Regional industry mapping
  • Relocation & expansion monitoring
  • AI landing-condition assessment
  • Intelligent outbound calling
  • Provincial rule library
  • Monthly settlement
  • Prepaid & tiered alerts
  • Tenant mini-program
Park energy billing: monthly settlement reconciled to the grid bill
Tenant mini-program: balance, usage and time-of-use prices

Intelligent procurement

From tender documents to a price comparison

Sourcing
Upload a tender document or bill of materials and the system extracts material categories and technical requirements, then screens the 4.8 million factory records by category, capacity, credentials and region to produce a shortlist of candidate suppliers. For precast concrete components, for example, purchased materials span prestressing strand, corrugated duct, anchorages and grout.
RFQ
AI outbound calling contacts multiple candidate factories in parallel using configurable scripts, confirming willingness to take the order, price and lead time, and guiding suppliers to submit quotations online. Call records, quotations and tags are archived automatically; technical clarification is handed to procurement staff.
Control
The system compares quotations, lead times and credentials side by side and gives a comparison conclusion with the reasons for selection. A management dashboard shows, for each batch, who was asked, how the agreed price deviates from the historical average, and which batches were single-source. Supplier admission checks, conflict-of-interest screening and end-to-end logging support internal audit. The system reads data from the existing ERP and approval workflow and writes results back.
  • Tender & BOM parsing
  • Supplier sourcing
  • AI outbound RFQ
  • Online quotation
  • Side-by-side comparison
  • Management dashboard
  • Admission & conflict screening
  • End-to-end logging
Price comparison page of the intelligent procurement system: quotations, lead times, ratings and credential tags side by side

Data foundation

Each factory record contains six verifiable data dimensions

All of the company’s AI businesses are built on this data layer. Each dimension supports independent filtering, export and API access, serving customer acquisition, sourcing and supplier audit, and system integration.

01 — Legal identity

Corporate identity and capital

Operating status, registered and paid-in capital, insured headcount, shareholder structure and outbound investments. Capital and headcount are numeric fields that support range filtering.

  • Operating status
  • Registered capital
  • Paid-in capital
  • Insured headcount
  • Shareholders
  • Unified credit code

4.8Mfactories, full coverage

02 — Products & category

Main products and industry classification

Product summaries and full business-scope text are indexed and mapped to the four-level national industry classification, with synonym expansion and exclusion terms to improve category search precision.

  • Main products
  • Full business scope
  • Four-level industry class
  • Synonym expansion
  • Exclusion terms

1,965industry niches

03 — Credentials

Honours, certifications and licences

Covers Little Giant SMEs, manufacturing single champions, CEC environmental certification, management-system certificates and administrative licences, all provided as structured, filterable tags.

  • Little Giant SME
  • Single champion
  • CEC environmental cert
  • System certificates
  • Administrative licences

04 — Supply chain

Upstream, downstream and equity links

Records customer and supplier relationships and equity links between factories, making it possible to start from one known company and identify comparable companies along the network.

  • Upstream suppliers
  • Downstream customers
  • Equity links
  • Comparable-company identification

05 — Decision makers

Decision-maker flag and contact channels

Beyond switchboard numbers, a decision-maker flag allows direct filtering of factories where an owner or executive can be reached; exported records can be de-duplicated.

  • Decision-maker flag
  • Mobile
  • WeChat
  • Landline
  • Export de-duplication

3M+with direct decision-maker contact

06 — Geography & clusters

Administrative divisions and industrial clusters

Administrative divisions at province, city and county level, overlaid with industrial clusters, development zones and coordinates, supporting analysis of regional concentration for a given product category.

  • Province / city / county
  • Industrial clusters
  • Development zones
  • Coordinates
  • Export business

1,000+clusters, down to township level

Data quality

Four mechanisms that
safeguard data quality

Data authenticity is the first question in any due diligence. The four mechanisms below govern our data quality management, and each can be verified.

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  • 01

    A separate record for every factory

    Each of the 4.8 million factories has its own record, corresponds to a specific company, and can be verified by unified social credit code.

  • 02

    Field-completeness conventions

    The fields in each dimension, the mandatory items and the representation of missing values are explicitly defined. Missing data is marked as missing and is never replaced with inferred values.

  • 03

    Multi-source cross-validation

    Identity, credential and address information comes from several independent collection paths. Records that disagree are flagged and updated once verified.

  • 04

    Manufacturing-plant identification

    Each company is assessed as to whether it is an actual manufacturing plant, and non-factory companies are excluded from search results. This capability is the main distinction between this data layer and business-registry products.

Customer cases

How customers use it

How contractors, equipment makers, logistics companies, traders, financial institutions and industrial parks use the factory data layer, AI agents and industry AI systems.

All case studies →
Engineering & construction

Anonymous · Transport infrastructure contractor

Transport infrastructure contractor:intelligent procurement for precast component materials

Producing precast concrete components requires prestressing strand, corrugated duct, anchorages and grout, supplied by different industries. The intelligent procurement system covers supplier sourcing, AI outbound RFQ and price-comparison control, and connects to the existing ERP and approval workflow.

4.8M
Factories searchable
3
Process stages
8
Functional modules
Read the full case →
Industrial parks

Anonymous · Industrial park operator

Industrial park operator:supply-chain-based investment promotion and sub-metered energy management

The smart-park system covers the two functions of the operator: selecting investment targets from the upstream and downstream map of its leading industry, with AI pre-assessing site fit; and monthly electricity settlement and prepayment management for sub-metered tenants under provincial rules.

4.8M
Factories searchable
4
Site-fit checks
4
Bill items allocated
Cross-border e-commerce

Anonymous · Cross-border e-commerce platform

Cross-border e-commerce platform:screening and verifying exporting factories as sellers

The platform's seller recruitment team screens factories with export business by export flag, product category and industrial cluster, and connects factory search and record verification to its own recruitment system through the open platform APIs.

1.8M
Exporting factories
1,000+
Industrial clusters
REST · MCP
Integration
Logistics

Anonymous · Integrated logistics company

Integrated logistics company:developing manufacturing shippers cluster by cluster

The key-account teams of a logistics company choose development regions by industrial cluster, segment factories by product category, company size and export flag, and manage lead exports from all regional teams under one corporate account.

4.8M
Factories searchable
1,000+
Industrial clusters
1.8M
Exporting factories
Raw materials trading

Anonymous · Industrial raw materials trader

Industrial raw materials trader:identifying downstream factory customers from material use

The sales team starts from what a material is used for. An AI agent groups the downstream industries that consume it, factory lists are generated for each group by size and region, and similar companies are identified starting from existing customers.

1,965
Industry categories
4.8M
Factories searchable
3M+
With decision-maker contacts

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.

  • 亚马逊
  • 海信电视
  • 兰州大学
  • 达能食品饮料
  • 通快
  • 惠普
  • 首创
  • 象屿
  • 海量商贸
  • 斯凯奇商业
  • 跨越速运
  • 泰瑞机器
  • 中际联合科技
  • 三角牌电器
  • 百度时代网络技术
  • 日铁物产
  • 浪潮智联科技
  • 正川永成医药材料
  • 国金期货
  • 鸿盛新材料科技
  • 福立分析仪器
  • 金旺智能科技
  • 山善贸易
  • 京东信成供应链科技
  • 回水科技
  • 慧谈智能科技
  • 汇源果汁
  • 新能再生资源
  • 赣州职业技术学院
  • 奥利机械
  • 众燚核电装备
  • 恒和永盛
  • 利驰软件
  • 天水华圆尚御科技
  • 乐锦记食品
  • 金鹰流体机械
  • 瑞隆机械制造
  • 肽好生物
  • 迅效自动化科技
  • 信隆阀门铸造
  • 博视源机器视觉技术
  • 蒂普泰柯科技
  • 新麦科技
  • 《中国皮革》
  • 鑫瑜能源科技
  • 智造仓储
  • 库泰润科压缩机技术
  • 木白科技
  • 科翰硅

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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.