Giza

Giza

Developing tools and architecture for the deployment of machine learning models on blockchain protocols.

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GizaTech (gizatech.xyz) is a pioneering startup focused on revolutionizing the development and deployment of artificial intelligence (AI) through a decentralized and open economy. The company operates in the rapidly growing AI and blockchain markets, providing a unique platform where machine learning (ML) models can be deployed and monetized in a permissionless and transparent manner.

GizaTech serves a diverse range of clients, including AI developers, researchers, and organizations looking to leverage advanced ML models without the need for extensive infrastructure. By offering a marketplace for ML models, GizaTech allows model owners to earn fees each time their models are used, thus creating a new revenue stream for AI innovators.

The business model of GizaTech is built around the concept of "transferable ML models." This means that model owners retain rights to their creations and can monetize them by charging fees for each usage. The platform ensures secure and serverless deployment of these models on the blockchain, which means there is no need for traditional infrastructure maintenance. This approach not only reduces costs but also enhances trust and transparency, as all transactions and model usages are verifiable on the blockchain.

GizaTech makes money by taking a small percentage of the fees generated from the usage of ML models on its platform. This aligns the company's success with the success of its users, fostering a collaborative ecosystem. Additionally, GizaTech collaborates with forward-thinking protocols to develop foundational tools and architecture, further enhancing its platform's capabilities.

In summary, GizaTech is building an open economy for AI, providing a decentralized marketplace for ML models, and enabling secure, transparent, and cost-effective AI development and deployment.

Keywords: AI, blockchain, machine learning, decentralized, marketplace, monetization, serverless, transparent, verifiable, infrastructure.

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