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DataHive (DATA)

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DataHive AI is a decentralized platform that provides ethically sourced, high-quality data for AI model training. As a DePIN project, it uses users’ devices via extensions and mobile apps to collect public web data — e-commerce info, images, videos, and dynamic content traditional crawlers miss.

Seed Round: $3.5M

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Ticker
DATA
Type
Utility-token
FoundedEstonia
Registration countryEstonia
Registration year2025
Office addressNarva Mnt 7-652 Kesklinna Linnaosa, Harju Maakond Tallinn, 10117 Estonia

What is DataHive

DataHive AI is a innovative project focused on sourcing, creating, and labeling high-quality datasets in text, image, video, and audio formats to support AI training, analytics, and research. Its primary purpose is to equip organizations with reliable, ready-to-use data resources that are fully IP-cleared and verified for authenticity.

Key features include specialized datasets like the E-Commerce Product Listings Dataset, which provides metadata such as titles, brands, descriptions, pricing, and availability for retail intelligence. The platform also offers the E-Commerce Ratings and Reviews Dataset for sentiment analysis and market research, alongside audio resources like the European Languages Spoken Audio Dataset featuring multilingual recordings from native speakers.

For visual content, it delivers the Global Video Dataset with over 1,000 hours of annotated videos including sentiment labels and engagement metrics. DataHive operates through a distributed workforce of contributors who generate original content, which is then professionally validated and labeled to ensure quality.

Funding Details

Funds Raised (as of now) 3,500,000 USD

Project team

Vol P.
Vol P.
Founder & CEO
Vol P. linkedin-team
Kanstantsin Chernysh
Kanstantsin Chernysh
CTO & Co-Founder
Kanstantsin Chernysh linkedin-team
Valery Sivou
Valery Sivou
Product Designer
Valery Sivou linkedin-team
Maksim Tuleika
Maksim Tuleika
Software Engineer
Maksim Tuleika linkedin-team
Stanisław Arsoba
Stanisław Arsoba
Software Engineer
Stanisław Arsoba linkedin-team
Roman Shved
Roman Shved
DevOps Engineer
Roman Shved linkedin-team
Ilya Sashnikov
Ilya Sashnikov
Software Engineer
Ilya Sashnikov linkedin-team

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