Alaya AI is an emerging decentralized platform designed to solve one of artificial intelligence’s biggest bottlenecks: sourcing, labeling, and verifying high-quality datasets.
Instead of relying on centralized, in-house teams or expensive outsourcing firms, Alaya AI taps into a global network of contributors who complete micro-tasks — from labeling images to transcribing audio — and rewards them with blockchain-based tokens.
It’s a model that blends crowdsourcing, gamification, and blockchain transparency. But does it actually deliver the speed, accuracy, and cost savings it promises?
I’ve tested Alaya AI from both the contributor side and requester side, examined its governance system, and reviewed its case studies to find out.
