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# Zuvu AI Collaborates with Vana to Enhance Distributed AI on Bittensor
On February 26, Zuvu AI and Vana revealed a collaboration to reinforce distributed artificial intelligence within Bittensor. The purpose of the collaboration is to create a more financially viable and open AI ecosystem.
Zuvu AI, previously known as SocialTensor, provides experience in scaling four Bittensor (TAO) subnets, while Vana contributes its innovative user-controlled data network, having recently obtained advisory support from Binance founder Changpeng Zhao.
The collaboration seeks to examine a new model for AI development that is collaborative, open, and financially viable by integrating key layers of the distributed AI stack.
## Creating Actual Value
Art Abal, Managing Director of the Vana Foundation, remarked that the collaboration integrates Vana’s data layer, Bittensor’s subnet network, and Zuvu’s economic layer to improve Vana’s DataDAO ecosystem and address key issues in AI development.
Zuvu provides the economic layer for AI, enabling investment, trading, staking, and monetization of data, models, and agents, thereby generating new opportunities in a rapidly growing market. According to the press release, the collaboration comes as the AI market is projected to reach trillions of dollars by 2032.
## The Increasing Disturbance of DeFi
The collaboration’s integration TruBit Collaborates with Morpho to Introduce DeFi Unearned Revenue in Latin America Bittensor is strategic, leveraging its incentive-driven network to scale AI development. By combining economic incentives with permissionless computation and user-controlled data, the collaboration reflects the disturbance of traditional finance by distributed finance.
According to Daniel Raissar, COO of Zuvu AI, and Abal, the collaboration is expected to enhance the diversity of Bittensor’s subnets, support the expansion of Vana’s DataDAO, and position Zuvu as a leader in AI financialization, potentially influencing industry practices.
This partnership corresponds to the changing path of open AI, as demonstrated by Bittensor’s growth to 45 working subnets, and answers the need for substitutes to focused AI leaders.
