Market research on personal data has been conducted and the demand for personal data from enterprises is undeniable.

For example, Evidation, a data company in Silicon Valley, was founded in 2012 and jointly invested in by GE Capital and Stanford University Healthcare Center. It has completed six rounds of financing to date, reaching a valuation of $1 billion, making it a true unicorn. Evidation automatically collects the medical and health data of volunteers through smart wearable devices, one-time buys them from volunteers, and then sells them to pharmaceutical companies via API. Currently, six of the world's Top 10 pharmaceutical companies are Evidation's clients. As a traditional Web2 company, Evidation centralizes data storage and has already amassed trillions of data entries. Evidation's business model clearly demonstrates the strong demand in the personal data market.

Bitdance, leveraging Web3, blockchain and confidential computing technologies, aims to catch up and surpass these competitors, helping users achieve data monetization and sustainable revenue generation while ensuring user privacy and security. We use healthcare data as our entry point and have already contacted several pharmaceutical and medical AI companies. All of them are very interested in our personal data market.

The business model of Bitdance is to charge transaction fees(0.1%) by means of smart contract in the peer-to-peer data market and AI agent market. In addition, Bitdance can also make money by selling smart hardware (AI Mini Computer) as Real World Asset (RWA) to investors.

Our strategy is to leverage the tokenomics incentive mechanism to build up the data supply side firstly, accumulating a certain data volume before introducing data buyers and launching a data market transaction.

With Bitdance, even startups and individual developers can legally purchase data in the market to participate in AI technology and product innovation—This is the very reason we founded Bitdance.