TAO Subnet

One of Bittensor’s most powerful features is its subnet architecture. Each subnet functions as a specialized segment within the network, focusing on a set of AI tasks or services. Veil Protocol will leverage this design by establishing a custom TAO subnet tailored specifically to the resources required by Tennet™. In practice, this means Veil’s core AI functionalities will run on a segment of the Bittensor network, using the TAO token to fuel its operations.

Where mainstream AI solutions concentrate power in centralized servers or cloud platforms, Veil’s TAO subnet takes a different approach. AI model training and inference for the app are decentralized across many miner nodes in the network, rather than controlled by a single company, offering privacy and autonomy for users. This setup also taps into a global pool of AI expertise, as any miner in the subnet (anywhere in the world) can contribute to improve models over time.

The custom Veil subnet will allow miners and validators to earn $TAO from the network by working on Veil-specific tasks, creating a self-sustaining economy around the app’s needs. The Bittensor protocol allocates token rewards to each subnet based on its demonstrated value and performance; in our case, the more high-quality the Veil subnet’s outputs are, the more $TAO will flow into it as rewards for its participants.

While Veil’s objective is to run its own subnet to guarantee optimal performance and privacy for its application, this does not isolate it from the rest of the Bittensor network. The design remains interoperable: Veil’s subnet is able to interact with other Bittensor subnets when needed. Thanks to Bittensor’s unified protocol, such cross-subnet collaborations are feasible. This flexibility ensures that Veil can leverage the best available decentralized AI models globally.