OORT, a pioneer data cloud for decentralized AI, has officially listed its user-contributed dataset across traditional enterprise data marketplaces. This marks the first time a Web3-native data cloud platform has made data collected from its decentralized community of contributors publicly available to enterprise buyers and mainstream AI developers.
According to a press release shared with Cryptopolitan, the dataset which contains 100,000 data points will be available for purchase on popular data marketplaces, including Google Cloud Analytics Hub, Datarade Marketplace, Databricks Marketplace and Snowflake Marketplace. It will also be listed on SAP Datasphere Marketplace soon.
As for the pricing, the dataset is non-exclusive; this means that it will be available for multiple purchases, with the price ranging between $0.02 to $0.10 per image ($2k–10k per set).
A Growing Demand for High Quality Training Datasets
This milestone by OORT coincides with the growing demand for high-quality and unbiased training datasets. According to the latest analysis by Grand View Research, the global data marketplace platform market was valued at an estimated $1.49 billion in 2024, with projections showing it could grow at a CAGR of 25.2% between 2025 and 2030 to hit a valuation of $5.73 billion.
Following OORT’s dataset listing on traditional data marketplaces, it will be more seamless for potential buyers to leverage the already established infrastructure, including filtering and search features to locate relevant datasets. More importantly, the ready-to-use data collected by OORT’s decentralized AI data cloud will be discoverable at scale to meet the growing demand.
Dr. Max Li, Founder and CEO of OORT, commented on the milestone, “By making these datasets available on traditional data platforms, we’re proving that decentralized infrastructure isn’t just an idea – it’s a practical solution.”
“This marks a turning point – not just for OORT, but for the future of decentralized AI. For the first time, enterprise buyers can access truly global, user-contributed datasets from a decentralized network. While many still question the utility of DeAI, OORT is delivering tangible value by unlocking the hardest part of AI: high-quality, diverse and global data.” added Dr. Max Li.
Decentralization Meets Data Demand
Web3 innovations have often been criticized for not fully leveraging the underlying technology while the traditional dataset marketplace is already falling short of demand. The latest estimates by EPOCH AI reveal that we could run out of AI training datasets between 2026 and 2032 given the rate at which LLM models are being trained.
OORT’s datahub leverages blockchain technology to solve this shortcoming by incentivizing decentralized data collection; on one hand, this introduces more diversity in AI training datasets while on the other, it brings the aspect of transparency into the data collection process. As such, it is a landmark moment for both Web3 and the AI enterprise sector.
Going by the high demand and previous success of OORT’s datasets, projections show that the move to list on traditional enterprise data marketplaces could generate $1 million in revenue for the firm. A portion of this revenue will be directed towards a buy back and burn of the OORT native token as per the tokenomics; this will generate value to the holders.
It is also worth mentioning that OORT has recorded more notable milestones since its debut. Most recently, it launched Decentralized AI (DeAI) data collection dApp on Binance Wallet, becoming the first DeAI to debut on the platform. The Web3-native solution has also managed to attract over 300k registered users and touts 80k+ active contributors.
OORT’s datasets have already proven to be valuable beyond the Web3 ecosystem, with some of the community-contributed collections reaching the No.1 spot in multiple Google Kaggle categories.
