Grass Raises $3.5M in Seed Funding as Investors Bet on Decentralized AI Future

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Wynd Network, the team behind the Grass project, has secured $3.5 million in seed funding to develop a decentralized oracle for artificial intelligence (AI). This round, co-led by Polychain Capital and Tribe Capital, brings Wynd Network's total funding to $4.5 million following an earlier pre-seed round.

How Grass Works: Decentralized Web Scraping for AI

Grass leverages a decentralized model to transform public web data into structured AI datasets. By mobilizing home internet connections, the network scrapes and verifies web data while ensuring:

"As a decentralized oracle for AI, Grass will produce datasets that can be traced back to their origin, making it possible to compensate people fairly for their contribution to the network."
— Wynd Network

Key Investors and Growth Plans

Additional participants in the funding round include:

Proceeds will expand Wynd Network’s node infrastructure and accelerate development of decentralized web scraping solutions.

The Rising Synergy Between AI and Blockchain

The funding coincides with growing interest in blockchain-based AI solutions. Recent analysis from a16z Crypto highlights distributed ledger technology’s potential to decentralize AI development.

👉 Explore how blockchain counters centralized AI dominance

Notable Trends in AI Tokens
The AI crypto sector now boasts a $9.03B market capitalization (CoinGecko). Examples include:

FAQs: Grass and Decentralized AI

1. How does Grass ensure data quality?
Grass uses a node network to verify scraped data, with contributors rewarded based on accuracy and volume.

2. Why is decentralized AI important?
It prevents monopolization by tech giants, enabling open access and equitable revenue sharing.

3. Can users monetize idle internet bandwidth with Grass?
Yes—participants earn passive income by contributing unused bandwidth to the network.

👉 Learn about passive income opportunities in Web3

4. What’s next for Wynd Network?
Expanding node coverage and partnering with AI developers to refine dataset utility.


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