The Problems We Are Solving
Current AI systems have important limitations when it comes to personalization, privacy, and user control. The issues are so important as AI becomes more deeply integrated into everyday tasks, financial tools, communication platforms, and Web3 applications.
Lack of Personalization
Many AI models operate without fully understanding the user’s needs or context. They process input in isolation. That's why, the output is often feel off-target or irrelevant.
Centralized Data Dependency
Most of the AI tools rely on centralized data storage. User information is kept and processed on servers and this creates privacy concerns, puts data at risk, and restricts users from having full ownership of their own information.
Stateless Interactions
Many AI systems operate without retaining any memory of previous conversations or actions. Each interaction is like starting from scratch, making it tough to create long-term, intelligent agents that can adapt to evolving tasks or maintain continuity across sessions.
Lack of User Control
Users can't control their data like what data gets stored, how it’s used, or where it’s kept. Usually, service provider manages the context, leaving users a black-box system that they can’t affect.
Incompatibility with Decentralized Applications
The rise of Web3 and decentralized applications requires AI systems to work in new ways. Traditional models aren’t built to securely and flexibly interact with blockchain data, wallet information, or permissioned protocols.
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