Products

In-Equal focuses on industrial-manufacturing sales-lead infrastructure for the AI era. The current product is Tianxia Gongchang; future products will tackle other unsolved links in the same salesperson → factory chain.

What we ship today

Tianxia Gongchang · AI factory-leads platform

A factory-discovery and decision tool for B2B sales teams in manufacturing.

Not a procurement tool like 1688 — a sales-intelligence tool. Think a manufacturing-vertical version of ZoomInfo / Apollo.io, layered with the “company lookup” depth of Chinese registry tools, but built from the salesperson’s perspective rather than the registry’s.

Data scale:

• 4.8 million factory profiles with depth dimensions: products, capacity, customer structure, equipment level — beyond registry basics
• 13.95 million anonymized decision-maker phone numbers + 5.6 million WeChat IDs
• 1.08 million factories with verified export business
• 1,000+ industrial belts, including cross-city and cross-province township clusters

Learn more about Tianxia Gongchang →

Why this is hard

Factory data is unlike consumer data — no public APIs, no aggregated ratings, no review sites. Building a sales-grade factory data layer requires solving five things at once:

1. Data acquisition — factory websites, patents, hiring posts, bid records, trade-show directories, corporate PR; every source has to be scraped in-house
2. Data cleaning — registered legal entities and actual production entities are often separate (listed parent vs tier-three subsidiary, parent vs site company, brand owner vs OEM)
3. Sub-industry classification — standard industry codes are too coarse; long-tail township clusters need non-standard classification (e.g. Dainan stainless steel, Dongtai stainless steel, Jingjiang shipbuilding, Hangji toothbrushes — none mapped cleanly in standard four-digit codes)
4. Cross-region clustering — township clusters routinely span cities and provinces (Dainan-Shiyan spans Taizhou-Yancheng, Shengze-Puyuan spans Jiangsu-Zhejiang) — administrative boundaries don’t work
5. AI-agent reconstruction — taking the raw data above and reorganizing it into the dimensions sales actually need: “who should I call”

In practice, the most valuable thing isn’t factory search itself — it’s the underlying data layer plus the sales-perspective organization.

What’s next

Around the salesperson → factory chain, the next product will tackle a workflow link that hasn’t yet been tooled — sales follow-up, decision-maker maintenance, factory-activity alerting, or cross-tool data flow. Specifics will be announced when it ships.