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# Zuvu AI and Vana Collaborate to Enhance Decentralized AI on Bittensor
Zuvu AI and Vana revealed a collaboration on February 26, with the goal of improving decentralized AI within the Bittensor network. They are collaborating to create an AI ecosystem that is not only more economically feasible but also more accessible to all.
Zuvu AI, earlier known as SocialTensor, contributes its experience in scaling four Bittensor (TAO) subnets. Vana, which recently received recognition from Binance founder Changpeng Zhao, contributes its innovative user-owned data network.
The objective is to explore a new, open, and collaborative approach to AI development that is also economically viable by combining key layers of the decentralized AI stack.
## Establishing Tangible Worth
Art Abal, Managing Director of Vana Foundation, stated that this collaboration integrates Vana’s data layer, Bittensor’s subnet networks, and Zuvu’s economic layer to improve Vana’s DataDAO ecosystem and address significant challenges in AI development.
Zuvu is driving the economic layer for AI, allowing for the investment, collateralization, trading, and monetization of models, agents, and data. This creates new opportunities in a rapidly expanding market. According to the press release, this collaboration occurs at a time when the AI market is expected to reach trillions of dollars by 2032.
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The partnership’s integration with Bittensor is strategic, leveraging its incentive-driven network to scale AI development. By combining user-owned data with permissionless computing and economic incentives, this collaboration mirrors how decentralized finance is disrupting traditional finance.
According to Abal and Zuvu AI COO Daniel Raissar, the collaboration is projected to improve the diversity of Bittensor’s subnets, support the growth of Vana’s DataDAO, and position Zuvu as a leader in AI finance, potentially influencing industry standards.
This partnership corresponds to the path of open AI, reflecting Bittensor’s growth to 45 operational subnets. It immediately satisfies the increasing requirement for options to centralized AI leaders, providing a more decentralized and approachable method to AI progress.