DataUnion is a data union platform that facilitates collaborative data sharing to create diverse AI training datasets and insights among participants. This approach eliminates data silos, ensuring joint ownership of the generated insights while improving the quality of AI models.
Funding
$1.5M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.

EOPPLFounders
Product
Problem
AI model development is often hindered by fragmented data silos, making it difficult to access diverse, high-quality training datasets. Existing data marketplaces lack mechanisms for fairly compensating data contributors and ensuring joint ownership of insights derived from collaborative data efforts.
Solution
DataUnion provides a platform for communities to collaboratively build and share AI training datasets, fostering a new data economy where contributors are fairly rewarded. The platform enables the creation of "Data Unions," where participants pool their data, mobilize groups to produce AI-ready datasets, and collectively own the resulting insights. By providing infrastructure for data unions, DataUnion facilitates the creation of inclusive and responsible AI, ensuring that all contributors benefit from the value generated by their data. The platform gamifies the data contribution, annotation, and verification process through a mobile app, increasing adoption and bringing more value to data contributors and the network.
Target Audience
The primary target audience includes AI developers, data scientists, researchers, and organizations seeking diverse and high-quality training data, as well as communities looking to monetize their data assets and participate in the AI economy.
Features
- Collaborative data pooling for AI training datasets
- Tools to mobilize and reward data contributors
- Mechanisms for joint ownership of data insights
- Mobile app for gamified data contribution, annotation, and verification
- Support for building custom Data Unions tailored to specific sectors
- Integration with Ocean Protocol's Compute-to-Data for secure data sharing
- Customizable mobile app for data collection and contribution
- Data lineage tracking to ensure data provenance and traceability