Looking up corporate information, now as simple as asking a question
Have you run into this headache? You want to research a company’s background, open Qichacha or Tianyancha, and while the data is there, it’s split into scattered disjoint fields: registered capital, shareholders, external investments, legal risks… You have to read, piece together, and draw conclusions entirely on your own. If you want to locate companies filtered by industry or product lines, the process gets even more cumbersome — these platforms operate on basic keyword matching rather than deep semantic comprehension.
Later, I noticed friends working in investment and sales never got stuck researching corporate profiles. When I asked for their secret, they sent over a link: “Use this. Just ask your question, and it gives you a complete, synthesized answer straight away.”
That link leads to Lianqi AI (Chain Enterprise AI).
What Is Lianqi AI?
Lianqi AI is an AI-powered business search tool launched by Zhejiang Lianqi Intelligent Technology Co., Ltd. Its core distinction from traditional corporate information inquiry platforms is simple: legacy tools dump raw data fields for you to parse manually, while Lianqi AI delivers fully structured, synthesized analytical answers.
Built on a hundred-billion-parameter large language model trained with specialized commercial domain knowledge, it maintains a self-built vertical business data index. You don’t need to craft precise complex search queries; simply ask in natural language. For example, prompt “Find early-stage cross-border e-commerce startups headquartered in Hangzhou”, and it will capture your true intent and return a curated list of enterprises paired with full corporate profiles.
Its core value proposition is transforming business lookup workflows: shifting from rigid keyword matching to intelligent semantic understanding, and from passively browsing raw data to actively leveraging actionable business insights.
Core Capabilities Covering Full Commercial Decision Workflows
1. Enterprise Lookup: Research companies beyond isolated data fields
Powered by natural language processing, it integrates public web data and vertical commercial datasets to rapidly compile holistic corporate overviews. When you search a company, you receive a cohesive structured profile instead of fragmented separate data points. You can follow up with layered targeted questions such as “Who are this company’s main competitors?” or “What open job roles are they hiring for right now?” to retrieve granular supplementary details.
2. Industry Search: Identify companies by product or industry vertical
It supports composite multi-dimensional searches centered on products or industry sectors, and handles vague, comprehensive user queries effortlessly. Take the example of “List all startups developing new energy batteries”: legacy platforms force you to run multiple separate keyword searches and manually filter results, while Lianqi AI directly outputs a complete relevant company roster in one query.
3. Business Opportunity Mining: Turn tender bidding data into actionable leads
It aggregates real-time nationwide tender and bidding announcements, leveraging big data analytics to instantly parse tender document core requirements. You can set up automated monitoring rules to auto-detect bid opportunities aligned with your business scope. Its standout feature is the AI bid proposal assistant: based on tender specifications, the AI drafts fully compliant complete bid documents automatically.
4. AI Intelligent Writing: Not just research — end-to-end document generation
Lianqi AI integrates built-in AI bid drafting and compliance review modules. For teams that submit bids frequently, it functions as a 24/7 dedicated bid writing assistant. New users receive a free 80,000-character credit quota to test all writing features.
Key Differences From Qichacha & Tianyancha
Operating Logic of Traditional Corporate Databases
All raw data fields are displayed in full; users manually read, compare, and conduct analysis independently.
Operating Logic of Lianqi AI
You submit a natural-language question, and the platform returns a single structured synthesized answer.
Concrete Example
Suppose you want to find “All Hangzhou-based AI companies that secured financing over the past year.”
- On Qichacha: You must manually apply multiple sequential filters (location: Hangzhou, industry: artificial intelligence, event type: financing), then scan the list and summarize findings yourself.
- On Lianqi AI: Input the full sentence as a single query, and it returns a consolidated breakdown with company names, financing rounds, and disclosed funding amounts attached.
This fundamental gap stems from divergent technical architectures. Lianqi AI’s competitive edge lies in its full Alibaba & Ant Group algorithm team background — core team members include the former lead of Ant Group MYbank’s corporate knowledge graph team and the lead of Ant’s graph learning algorithm team. The company’s self-developed vertical large language model, Weijian Zhizhu (See Micro Details to Grasp Big Trends), completed official national LLM algorithm filing back in 2024链企AI.
Typical Application Scenarios & User Profiles
Lianqi AI’s primary users include corporate decision-makers, market analysts, and investment practitioners, with core use cases as follows:
- Corporate Due Diligence: Rapidly verify target firms’ credit status, industrial and commercial registration records, equity structures, and risk profiles prior to M&A, investment, or partnership negotiations
- Market Research: Analyze industry trends and competitive landscape dynamics across vertical sectors
- Lead Generation: Discover potential business opportunities via real-time tender bidding information aggregation
- Bid Document Creation: Automatically generate compliant, high-quality tender proposals via AI assistance
- Pre-Employment Background Checks: Research the operational background of prospective employers or business partners
The platform offers three accessible entry points: official web portal, WeChat mini-program, and standalone mobile App. It records roughly 24,000 monthly visits, with its user base concentrated entirely within mainland China.
Objective Closing Thoughts
For decades, the core competitive advantage of business information tools revolved around data volume — platforms with larger data pools held the upper hand. But in the AI era, the core competitive advantage has shifted from raw data quantity to data comprehension capability. No matter how extensive a dataset is, its value diminishes drastically if users must spend hours manually sorting, analyzing, and piecing together disjointed information on their own.
Lianqi AI’s core mission is shifting the burden of interpreting complex commercial data from end users onto AI systems. You pose a single natural-language question, and it delivers a fully analyzed, structured, decision-ready answer — rather than dumping hundreds of isolated data fields for you to decipher manually.
If you’re tired of straining to parse endless scattered data tables on conventional corporate information platforms, Lianqi AI is worth a short trial. At the end of the day, what business professionals truly need is not more raw data, but clearer, actionable business insights.