Overview

The Rivalz[NET] Protocol, or RNET, focuses on the application of our data layer towards AI use cases. Within RNET, we will focus on building a number of AI related products that can be used as part of our offering to businesses, as well as stand-alone products.

While initially, our data layer will draw upon information sourced from RX, contributed by users, our mid-term strategy prioritizes third-party entities as the primary data source. This strategic shift aims to enable any AI agent to consume information within our data repository or engage in inter-agent communication. Leveraging the capabilities of Axelar, our platform will facilitate cross-chain solutions, positioning it as a central nexus within the broader crypto ecosystem.

Internal RNET Iterations

• In the first iteration of RNET, Rivalz will focus on Neural Networks that assist with data cleansing and augmentation.

• The second iteration of RNET will center on sourcing additional data for our network, as well as on synthetic data generation and validation. This will help Rivalz provide a competitive offering within the AI Data markets.

• In the third iteration, we will be working closely with [RECO] an alliance of Web3 leaders focusing on the most in demand AI products. Some of the early examples of this will be our work within the space of CLONEZ in entertainment and DeFi focused MAGE.

External Initial RNET Applications

Projects and Initiative built by Rivalz on the Rivalz App-layer to create momentum for developers to tap into the Rivalz Network.

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