### What is AIT Protocol?
AIT Protocol is a decentralised platform within the Web3 data infrastructure space that combines artificial intelligence (AI) and blockchain technology. It is designed to create a marketplace for data labelling and processing, aiming to revolutionise the traditional methods of data management by involving a global network of participants in AI model training and data annotation.

### How does AIT Protocol work?
AIT Protocol operates by leveraging blockchain technology to establish a decentralised labour market. This framework transcends international boundaries, allowing global participation in data annotation. Participants are incentivised through crypto-economics, which ensures rapid and secure payment settlements across borders. The platform employs a hybrid consensus mechanism and integrates AI to facilitate data analysis and decision-making processes, thereby enhancing its service offerings.

### What are the potential use cases for AIT Protocol?
AIT Protocol's decentralised platform has potential applications across various sectors:

- **Financial Services**: For asset management and supply chain processes, offering transparency and efficiency.
- **AI and Data Annotation**: Facilitates a decentralised market for data annotation and AI model training.
- **Healthcare**: Utilised for medical data analysis and predictive modelling.
- **Blockchain and Web3**: Supports the development of decentralised applications (dApps) and contributes to Web3 data infrastructure.

### What is the history of AIT Protocol?
AIT Protocol was founded in 2022 in Orlando, Florida. It gained momentum through strategic investments from notable entities like Animoca Brands, enhancing its development in AI and blockchain sectors. The protocol has established a subnet on the Bittensor network, developed a decentralised AI model aggregator called the Albert App, and outlined a roadmap for further advancements. The platform has been evolving with significant updates aimed at enhancing its API, deploying data annotation systems, and refining validator mechanisms to stay competitive in the AI and blockchain landscape.

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