About In-Equal

Industry Observation

China’s manufacturing sector spans over 4.8 million factories across more than 1,965 industry niches. The “upstream” of B2B sales work has long been left out of tooling — registry tools tell you who registered, trade directories tell you who placed an ad, but no one tells you who’s worth calling today.

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. Salespeople receiving a “factory list” routinely waste real time separating actual factories from front-companies.

A new salesperson entering a new vertical typically starts the first calls with: bulk export from a registry tool, Excel filtering, and a senior colleague’s WeChat list. In a third-tier city, a “metalworking” registry filter might return 5,000 entries — fewer than 100 of which actually need CNC equipment. This work shouldn’t fall on sales.

AI agents make “reading a factory” possible for the first time. Cross-validating a factory’s product pages, equipment lists, hiring records, plant photos, bid history, and trade-show appearances — reconstructing a sales-grade factory profile — and delivering it as today’s call list is what Tianxia Gongchang does. We currently maintain 4.8 million such factories.

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 — that turn fragmented factory data into sales-actionable customer intelligence.

The platform connects manufacturers across 1,965+ industry niches (plastics, metals, chemicals, consumer goods, machinery) with sales-side parties: industrial-supply traders, equipment makers, industrial SaaS vendors, supply-chain finance, export services, and others looking for factory clients.

Product View

Tianxia Gongchang is a sales-perspective factory data layer. Not a better search box — a list of who to call today.

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 — but from a sales perspective, not a registry one
• ZoomInfo / Apollo.io for sales intelligence — but for Chinese manufacturing
• Xiaoshouyi / Fenxiang etc. for CRM — we’re upstream, providing the lead data layer

We don’t compete with 1688 / Hui Cong / Made-in-China — those are procurement-side platforms, the opposite of what we do.

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 — in a sales context, agents win over keyword search by a wide margin.
• The upstream of B2B sales is dramatically under-tooled — getting it right unlocks a whole layer of the market that has gone without proper instrumentation for decades.

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.