OORT brings Web3 data to AI marketplaces like Google Cloud
- OORT launches Web3 data for artificial intelligence
- Sets available on Google Cloud and Snowflake
- Tracked data on-chain with Binance Wallet integration
OORT, a decentralized infrastructure platform, announced the launch of its AI-focused dataset on traditional marketplaces such as Google Cloud Analytics Hub, Databricks Marketplace, Snowflake Marketplace, and Datarade. A listing on SAP's Datasphere Marketplace is also expected soon.
According to the company, this is the first time a native Web3 dataset has been made available on platforms widely used by enterprise AI teams. The datasets were created based on 100.000 data points provided by users through the OORT application, making them accessible to commercial applications with prices ranging from $2.000 to $10.000, depending on volume and licensing terms.
🔥 OORT Leads the Way in DeAI!
We're proud to be the first DeAI project to list decentralized AI datasets on major traditional data marketplaces.
Explore the full story in @cryptodotnews 's feature 👇
🔗 https://t.co/W5Xcqs0I6K pic.twitter.com/cstFqAbhhg— OORT | The Data Cloud for Decentralized AI (@oortech) July 16, 2025
OORT CEO Dr. Max Li commented on the breakthrough: “For the first time, corporate buyers can access truly global, user-contributed datasets from a decentralized network. By making these datasets available on traditional data platforms, we are proving that decentralized infrastructure is not just an idea—it is a practical solution.”
With over 300.000 registered users and 80.000 daily contributors, OORT offers collaboratively labeled data whose authenticity is validated through on-chain tracking. Integration with Binance Wallet ensures seamless multichain access, facilitating use by developers and enterprises across diverse blockchain ecosystems.
Annual revenue generated from data sales is estimated to reach approximately US$1 million, with a portion of the proceeds going toward repurchasing and burning OORT's native token, adding value to holders. The platform's data has already been featured prominently in public Kaggle rankings, suggesting applicability in contexts beyond Web3.
The move positions OORT as one of the first projects to effectively integrate decentralized data infrastructure with traditional artificial intelligence workflows, in a market that is already worth US$1,49 billion and could exceed US$5,7 billion by 2030.
Disclaimer: The content of this article solely reflects the author's opinion and does not represent the platform in any capacity. This article is not intended to serve as a reference for making investment decisions.
You may also like
Swiss Franc struggles as SNB dovish stance lifts USD/CHF
SUI SuperTrend Buy Signal Flashes — Last Time It Appeared, SUI Rallied 77.53%
Has the return on Amazon's massive AI capital expenditure been underestimated by the market?
Amazon is trading at 29 times expected earnings, lower than Walmart’s 37 times, even though its revenue growth rate is three times that of Walmart. This inversion reflects deep market concerns over whether AI capital expenditures will deliver as anticipated. AWS CEO Matt Garman revealed that AWS’s annual revenue has reached $160–170 billion, with a growth rate of 37%. Enterprise cloud migration, AI-native startups, and intelligent agent workflows are simultaneously driving three growth curves.
TSMC’s $2 Billion Silicon Interposer Order Given to GlobalFoundries, Key CoWoS Components to be Produced in the U.S. for the First Time
This move marks the official extension of a key link in the AI packaging supply chain to the United States. Analysis indicates that the five-year long-term contract reflects TSMC's strong long-term outlook for silicon interposer demand. Meanwhile, Taiwanese companies UMC and PSMC are actively expanding capacity to compete for orders, but this major order has been secured by GlobalFoundries, meaning that American production capacity will become a new factor in the silicon interposer market landscape over the next five years.
Crypto prices
More
