It’s no secret that every ambitious large language model (LLM) or sophisticated AI application needs a massive, constant stream of diverse, high-quality data to learn and grow. The thing is, collecting it is typically a costly and complicated affair, leaving smaller projects and Web3 communities out in the cold.
OORT, a key player building decentralized data infrastructure for artificial intelligence, believes it has found a solution that is as sticky as social media and as functional as a crowd-sourcing platform.
The company has officially gone live with its DataHub Launchpad, which it describes as the “TikTok for Data,” creating the world’s first omni-chain data task platform designed to turn simple, human-generated data contributions into tangible token rewards.
The platform is designed to tackle two critical industry problems at once: the AI sector’s insatiable data hunger and the Web3 community’s struggle to create sustainable, real-world token utility.
Broken Data Pipeline
The traditional data supply chain for AI models is fundamentally broken for the decentralized web. AI developers often rely on massive, centralized data lakes or expensive third-party data providers. This structure not only limits data acquisition for new projects, but it also compromises the diversity of training data and fails to fairly compensate those who generate the initial information.
OORT’s DataHub Launchpad flips this centralized model on its head, turning data collection into an accessible, rewarding community activity. Following a successful whitelist phase in mid-September, the platform is now up and running, inviting a global workforce to participate directly in the AI economy.
The core mechanism is straightforward: any entity needing data, be it AI developers, researchers, or established decentralized projects, can create a ‘task’ on the platform. These range from collecting specific, real-world images to completing short, targeted surveys about consumer preferences.
Data contributors then browse a dashboard filled with these tasks. Once a task is completed and verified, the contributor immediately earns rewards, paid out in native OORT tokens or other tokens on the BNB Chain. This provides a consistent way for a global community to earn crypto rewards for their effort.
A Win-Win for the Ecosystem
Dr. Max Li, Founder and CEO of OORT, frames the Launchpad as a necessary evolution for the industry, saying that “the DataHub Launchpad is a game-changer because it democratizes data collection by putting the power of AI in the hands of many, not just a few.”

Photo: Dr. Max Li, founder and CEO of OORT.
He sees it as a win-win: projects get the diverse, human-generated data they desperately need, while users get rewarded for their time and contribution, similar to how platforms like TikTok have connected creators and audiences.
For AI projects, the crowdsourcing model dramatically lowers the barrier to entry and the cost of acquiring diverse, high-quality training datasets, supporting faster model development and iteration.
For Web3 communities, the platform offers a sustainable path to growth by rewarding members for verifiable activities. Instead of relying on empty airdrops or speculative tokenomics, tokens are earned for actual utility, whether that’s contributing an image or completing a social engagement campaign. This transforms promotion into measurable follower growth and authentic engagement.
The DataHub Launchpad currently supports three primary campaign types to cover the full spectrum of data needs:
- AI data collection: Core tasks like image or text collection and labeling, crucial for machine learning datasets.
- Social media tasks: Transforming social engagement into measurable, token-rewarded follower growth and community activities.
- Survey campaigns: Gathering targeted user insights to fuel smarter product and market decisions.
Quality Control and Data Monetization
One of the oldest criticisms of crowdsourced data is the lack of quality control. If anyone can submit data, how does the platform make certain it’s not fake, AI-generated, or duplicated?
OORT is tackling this head-on by integrating a crucial verification layer. Every submission is verified by the community itself, complementing OORT’s proprietary in-house systems. This ensures a high level of quality and trust, making the resulting datasets immediately valuable for AI model training.
Beyond just task completion, the Launchpad introduces a data monetization model built on listing and tokenization services. This allows the newly collected, verified datasets to be turned into revenue-generating assets, which rewards the original contributors and provides a novel income stream for the projects.
By aligning incentives and building a framework where engagement and data generation reinforce each other, OORT is setting a new standard for a global, community-driven approach to decentralized AI. The rapidly accelerating AI economy certainly needs something like it.

