Problem statement

The current landscape of AI and blockchain development faces several critical challenges that obstruct the growth and adoption of decentralized AI solutions:

• Fragmentation in Blockchain Ecosystems: The divide between Ethereum Virtual Machine (EVM) and Solana Virtual Machine (SVM) networks creates barriers to interoperability, making it difficult to develop unified solutions across platforms.

• Lack of Privacy-Focused AI Solutions: Existing AI platforms often neglect privacy, exposing sensitive data to potential breaches and compromising user security.

• High Technical Barriers: Building AI agents typically requires extensive coding expertise, which limits access to a wider audience and prevents non-technical users from utilizing AI technologies effectively.

• Centralized Control Over User Data: Traditional AI platforms centralize control over user data, leading to privacy concerns and a lack of transparency in data usage.

The challenges highlight the necessity for a unified, privacy-first, and user-friendly platform that simplifies AI agent development, empowers both technical and non-technical users, and ensures secure, decentralized control over user data.