InterLink AI is a decentralized identity and AI training solution that ensures security, privacy, and trust in the digital world. It combines Unique Data Training and Federated Learning to provide high-quality AI training while protecting user data.
Unique Data Training ensures bot-free, high-quality datasets by verifying each user as a real, unique human through InterLink ID's proof of personhood.
Each participant verifies their identity through InterLink ID, ensuring they are real and unique.
Users contribute valuable training data through interactive tasks from AI developers partner
AI models train directly on decentralized, high-quality human data without centralized storage risks.
Participants earn rewards for contributing data while maintaining complete control over privacy.
A system where AI learns directly on user devices without sending raw data to servers.
AI models are trained directly on user devices using unique personal data. No raw data is shared—only encrypted model updates are generated, ensuring privacy.
Devices receive an initial AI model, train it locally, and share updates peer-to-peer or with distributed nodes. This reduces reliance on central authorities while improving AI efficiency.
Updated models are aggregated without exposing private data, then redistributed to devices. This ensures AI continuously improves while maintaining user privacy.