— ABOUT
About In-Equal
Beijing Inequality Tech — the team building Tianxia Gongchang, a factory data layer for Chinese manufacturing
Industry Observation
China’s manufacturing sector spans over 4.8 million factories across more than 1,965 industry niches. This layer of data has never been properly organized. Registry tools tell you who incorporated, trade directories tell you who placed an ad — but nobody tells you what a given plant is producing today, how much capacity it has, who can sign off, or what certifications it holds.
A deeper, less obvious pain: most tools cannot reliably tell whether a company is even a factory. Registry products surface the legal “scope of business” — a self-reported text field where “machinery manufacturing” might describe a real machining shop or a three-person trading company. Sales-prospecting tools build their factory identification on the same registry layer plus web scraping, lacking hard production signals. E-commerce platforms host self-declared “factory” stores, many of which are traders or stalls. Anyone handed a “factory list” routinely wastes real time separating actual factories from front-companies.
This bites from both directions. A new salesperson entering a vertical typically starts with a bulk registry export, Excel filtering, and a senior colleague’s WeChat list — in a third-tier city, a “metalworking” filter might return 5,000 entries, fewer than 100 of which actually need CNC equipment. Sourcing runs into the mirror image: finding a plant in an unfamiliar category that can hold the spec, the volume, and the certifications still tends to start from trade-show directories and word of mouth, with public information stopping at the registry record.
AI agents make “reading a factory” possible for the first time. Cross-validating product pages, equipment lists, hiring records, plant photos, bid history, and trade-show appearances into a usable factory profile — we currently maintain 4.8 million of them — and then delivering that along the lines each user actually works, is what Tianxia Gongchang does.
The Company
Beijing Inequality Tech (In-Equal) was founded in June 2023, headquartered in the Yanxi Economic Development Zone in Beijing’s Huairou district. We focus on resource matchmaking in industrial manufacturing, with our flagship product Tianxia Gongchang — built on three mechanisms: public-data aggregation, factory-credentials verification, and production-capacity profiling.
Three product lines:
- The Tianxia Gongchang platform — search factories directly on web, mini-program, and app: find customers, find suppliers, look up a specific company
- The open platform — the same capabilities exposed over MCP and REST, callable by developers and AI clients, metered per call
- Custom enterprise AI — 27 capabilities across seven job families (sales, marketing, procurement, planning, finance/legal, export, market intelligence), custom-built and wired into a company’s existing systems
The platform connects manufacturers across 1,965+ industry niches (plastics, metals, chemicals, consumer goods, machinery) with three kinds of users: sales-side parties selling to factories, sourcing and supply-chain teams looking for plants in China, and developers embedding this data layer into their own products.
Product View
Tianxia Gongchang is a factory data layer. We reconstruct real business activity from fragmented public data, then organize it along the way each user works: sales gets a call list, sourcing gets the plants that can hold the spec, developers get a set of callable endpoints.
Core data:
- 4.8 million factory profiles with depth dimensions: products, capacity, customer structure, equipment level
- 1.08 million factories with verified export business
- 13.95 million anonymized decision-maker phone numbers + 5.6 million WeChat IDs
- 1,000+ industrial belts, including cross-city and cross-province township clusters
Where We Sit
Our reference points:
- Qichacha / Aiqicha / Tianyancha for the registry-data layer — we work the production-capability layer above it
- ZoomInfo / Apollo.io for sales intelligence — but for Chinese manufacturing
- Xiaoshouyi / Fenxiang etc. for CRM — we sit upstream, providing the lead data layer
- 1688 / Hui Cong / Made-in-China for the find-a-factory step — we run no marketplace and no storefronts; we do the factory data, the verification, and the API on top of it
Team
In-Equal’s people come from several different lanes — industrial software, AI, search infrastructure, B2B sales tooling. Most members have, in a previous life, personally tried to fix “why salespeople can’t find their customers” or “why buyers can’t find the right factory,” with backgrounds spanning supply-chain SaaS, cross-border e-commerce, industrial IoT, search engines, and scraping infrastructure.
Three things we hold to:
- The factory world deserves to be rebuilt from first-hand data, not stitched together from third-hand registry directories.
- AI agents are the right instrument for cross-validating real business signals into a complete factory profile — they beat keyword search by a wide margin.
- This layer of data is dramatically undervalued — get it right and sales, sourcing, supply-chain compliance, and industry research can all be built on top of it.
Engineering-led; product, data, and sales running in parallel; everyone hands-on; meetings kept lean.
Legal representative: Guo Kexin. CFO: Peng Xiangrui. The company holds the “Tianxia Gongchang” trademark and operates a licensed Internet information service. Wholly-owned subsidiary: Yichang Detta Technology.
Join Us
If you build AI agents, work with factory data, or design B2B sales tools, get in touch via contact — or browse open roles.