How does Brickroad turn data friction into Irys rise?

The speed of AI model updates is increasing, but data procurement is still at the speed of law. Negotiations often take 6 weeks to 6 months, with opaque pricing and complex processes, resulting in:

※ The seller has data but cannot make a profit.
※ The buyer is in a hurry for the data and cannot obtain it.
※ Intermediaries are stuck, taking most of the profits

What Brickroad wants to solve is this inefficiency. It is a data marketplace built on Irys that products data, puts it on the blockchain, and then directly connects buyers and sellers!

To the supplier:

※ Data has been cleaned, packaged, and standardized.
* Provide annotation and performance verification, so buyers can see the value
※ Transform into permissible, priced, and tradable assets, and even tokenize future earnings.

To the buyer:

※ Prices and terms are transparent, no more getting caught in long negotiations.
* Data delivery is ready to use and can even operate on-chain automated processes.
※ Can quickly search for high-quality data, with complete metadata and evaluation reports.

The key here is that each piece of data becomes the on-chain volume of Irys, and every buy and sell is the transaction volume of Irys!

As more institutional data goes on-chain, a flywheel effect will occur:

Early high-value data attracts buyers > Increase in buyers → More suppliers are willing to upload > Applications begin to build directly on on-chain data > Derivative data and AI-generated data continue to accumulate → Data gravity forms

Once this institutional data stands on Irys, it will not be easily moved. Brickroad is not just a marketplace; it is more like a direct conversion of institutional demand into the long-term rise of Irys!

#KaitoYap @KaitoAI @irys_xyz #Yap