Tianyancha is a product with open data as the starting point and relationship as the core, providing product-oriented solutions to help traditional enterprises or individuals reduce costs and prevent and resolve financial risks. Tianyancha has developed a "map database" with independent intellectual property rights and named it "Tianyancha".
If the other party is a legal person, you can query the information of its enterprise. Tianyancha has built a complete big data solution integrating data collection, data cleaning, data aggregation, data modeling and data productization.
Eye examination is powerful:
Tianyancha has collected more than 65438+800 million pieces of information about social entities (including enterprises, institutions, foundations, schools, law firms, etc.). ) In China, it includes more than 300 data dimensions such as listing information, enterprise background, enterprise development, judicial risk, business risk, business status and intellectual property rights, so as to realize real-time updating of all data. On May 19 and 10, Tian Yan seized the qualification license of the central bank's enterprise credit investigation business.
It is reported that this is the first time that the central bank's corporate credit filing channel has been restarted three years after it was closed. There are only three companies that have obtained this license, namely, China Electricity Council (Beijing) Credit Information, Aerospace Information Credit Information and Sky Eye Check. Among them, Tianyancha is the only company in the industry that has obtained the credit qualification of the central bank's filing enterprise, and it is also the only big data technology company in the 136 filing enterprise that only uses public information.
Enterprise credit information license is one of the 13 financial licenses issued by the central bank, which is different from personal credit information. Enterprise credit license is a necessary qualification to engage in enterprise credit business, which requires extremely high data quality (timeliness and accuracy).