OORTech Inc. (OORT) and Aether Holdings, Inc. (Nasdaq: ATHR) today announced the formation of Aether DataHub, LLC – a joint venture built on OORT's decentralized data infrastructure to produce institutional-grade training data for financial AI applications.

Financial AI is at an inflection point. While the models, compute, and capital are in place, high-quality, domain-specific data remains scarce, difficult to validate, and challenging to scale–representing a key constraint on the next generation of financial AI systems. 

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To address this gap, the joint venture will build and operate the Aether DataHub platform, a financial AI data labeling and dataset curation platform designed to produce institutional-grade training data for next-generation financial AI applications and specialized large language models (LLMs).

This is not a pilot. It is a production joint venture – a Nasdaq-listed fintech company selecting OORT's decentralized infrastructure to power mission-critical financial AI applications.

Aether DataHub Highlights

• Data-Centric AI Strategy: Addresses the global shortage of verifiable financial datasets by prioritizing data quality as a core driver of AI performance.
• End-to-End Infrastructure: Utilizes OORT’s DataHub platform, a global, community-driven data layer within its decentralized AI stack, to manage the lifecycle of financial data, from collection and labeling to validation and enrichment.
• Community-Powered Intelligence: Combines Aether's 400,000+ subscriber base with OORT's 350,000+ global contributor network to source and validate high-quality financial data at scale – human intelligence that generalist platforms can't replicate.
• Institutional Commercialization: Establishes a proprietary data layer supporting Aether’s internal AI roadmap while creating a scalable data service offering for enterprise clients.

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“By merging Aether's financial media community with OORT's AI data solutions, we are creating a major shift in how financial intelligence is gathered and utilized,” said Dr. Chong (Max) Li, Columbia University Professor, Founder and Chief Executive Officer of OORT. “We are mobilizing participants to create a living, evolving financial data layer that can become the backbone of the global financial market’s data value chain.”

How AetherHub works

Aether Holdings brings a decade of financial media expertise, 400,000+ engaged subscribers, and deep investor community relationships. That's a proprietary source of domain knowledge most data platforms can't access.

OORT contributes its technology – a global, community-driven data layer that handles the full lifecycle of AI training data: collection, labeling, validation, enrichment. The same contributor network that powers OORT's decentralized infrastructure now produces datasets used by institutional financial AI systems.

The platform runs on human verification, not synthetic data generation. In financial applications, the margin for error is real. A mislabeled training example doesn't stay abstract — it can influence a model's output on a live trading desk. Combining Aether's investor community with OORT's global contributor network creates a labeling layer with the domain depth that requirement demands.

“The next frontier of financial intelligence depends entirely on the quality and integrity of the underlying data,” said Nicolas Lin, Chief Executive Officer of Aether Holdings. “Aether DataHub positions us to own and operate a critical layer of financial AI infrastructure and participate directly in the financial AI data ecosystem while building a proprietary data asset base that compounds in value over time. This is a long-term, strategically controlled investment designed to define our role in the financial AI ecosystem.”

The platform is also designed to compound. Each dataset produced adds to a proprietary data asset. This is not a one-time data pull — it's infrastructure.

Why this matters

This joint venture confirms something the DePIN thesis has been arguing for years: decentralized contributor networks can operate at institutional standards. Not as an experiment. As production infrastructure for one of the most demanding data environments that exists.

Financial institutions building AI for trading, risk management, and market analysis have had two options: rely on data vendors that can't deliver the domain specificity they need, or build proprietary collection pipelines that are slow and expensive. AetherHub is a third option — and it runs on OORT's decentralized infrastructure.

What comes next

The platform is milestone-gated: prototype within 30 days, alpha within 60, launch-ready within 120. Development is underway.

If you're building financial AI and the data layer is your constraint, we want to talk.

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✅ Official Links

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• Website: http://oortech.com‍

• OORT Foundation: https://www.oortfoundation.org

• X: https://x.com/oortech

• Telegram Announcements: http://t.me/oortech_announcements

• Linktree: https://linktr.ee/oortech

• Docs: https://docs.oortech.com/oort/

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