Key Problems We Solve

Current AI systems face key challenges with personalization, privacy, and giving users control. These concerns grow even more critical as AI becomes a core part of daily tasks, financial services, communication tools, and Web3 applications.

Lack of Personalization

Many AI models don’t fully understand the user’s needs or context. They handle inputs separately, which often leads to responses that feel off-target or irrelevant.

Centralized Data Dependency

Most AI tools depend on centralized data storage. User information is stored and processed on servers, raising privacy concerns, risking data security, and limiting users’ control over their own data.

Stateless Interactions

Many AI systems don’t remember past conversations or actions. Each interaction starts fresh, making it difficult to build intelligent agents that adapt over time or maintain continuity across sessions.

Lack of User Control

Users often have no say over what data is stored, how it’s used, or where it’s kept. Typically, the service provider manages the context, leaving users with a black-box system they can’t influence.

Incompatibility with Decentralized Applications

With the growth of Web3 and decentralized apps, AI systems need to operate differently. Traditional models aren’t designed to securely and flexibly handle blockchain data, wallet details, or permissioned protocols.