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AI developers are using .xyz domains to leverage the latest technologies and explore the future of innovation. Tech startup is aimed at harnessing AI technology to make it easy to access and leverage web3 data. In this week’s #AIMonday, we’ll introduce you to a machine learning platform that aims to build an open economy for AI:

Introducing Exploring the potential of machine learning on Ethereum’s scalable platform is the online home of Giza, a machine learning platform. Machine learning is a subset of AI that focuses on enabling computer systems to learn and improve from a specified set of data. Giza is built on StarkNet, which is a network that operates on top of Ethereum. StarkNet is designed to help Ethereum handle more transactions and perform complex calculations more efficiently. Giza aims to leverage Ethereum’s scaling solutions, which are methods or technologies that improve the performance and scalability of the Ethereum network. These solutions allow Ethereum to process more transactions and support more applications, making it more capable and versatile.

Giza’s innovative techniques and the security of STARK

Giza uses innovative techniques that facilitate the utilization of machine learning models on the Ethereum network. By operating on top of Ethereum, Giza enhances the capabilities of machine learning while maintaining the safety and user-friendliness of the Ethereum system. To ensure the security and efficiency of machine learning models, Giza relies on a robust security system called STARK.

STARK plays a vital role in Giza’s operation, helping to ensure the protection and integrity of the deployed Machine Learning models during calculations. It empowers Giza to securely and efficiently process complex mathematical operations, enabling the Machine Learning models to handle a substantial volume of calculations effectively. With the support of STARK, Giza aims to provide a secure and reliable environment for the deployment and execution of Machine Learning tasks on the Ethereum network.

Interoperability and easy deployment

Giza aims to simplify the deployment of machine learning models by supporting popular frameworks, or software platforms, that provide pre-built tools, functions, and APIs (Application Programming Interfaces). Giza supports leading frameworks such as TensorFlow, PyTorch, and Scikit-Learn.

By supporting these frameworks, Giza wants to eliminate the need for developers to learn new tools or methods. They can leverage their existing knowledge and integrate their models developed in TensorFlow, PyTorch, or Scikit-Learn into the Giza platform. This can streamline the transition of models from the development stage to the production stage, which could reduce the time and effort necessary to get the models up and running effectively.

Giza’s blockchain-powered approach to machine learning development

Giza aims to simplify the monitoring of deployed machine learning models by utilizing blockchain technology. This can ensure secure and transparent monitoring, which can help developers easily assess model performance and make necessary improvements. All model information and usage data are securely stored on the blockchain.

Giza strives to facilitate diverse applications of machine learning on Ethereum. Potential uses include powering smart contracts with AI capabilities and enhancing gaming experiences with intelligent agents. Giza aims to foster increased usage of machine learning models on Ethereum’s main network (L1) and integration with traditional web services. 

We look forward to Giza’s developments and future enhancements towards the growth of machine learning capabilities on Ethereum. You can learn more by following the platform on Twitter @gizatechxyz, joining the Discord, and by visiting

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