Perle, a Web3-powered AI training data platform, has secured $9 million in seed funding led by Framework Ventures to launch Perle Labs, a crypto-native ecosystem aimed at redefining how humans contribute to AI model development.
The platform will offer transparent payments, on-chain attribution, and verifiable work histories for contributors, while enabling AI developers to access high-quality, diverse, and verified datasets.
By decentralizing data input, the firm hopes to tackle one of AI’s biggest challenges—its reliance on limited and often biased datasets.
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“As AI models grow more sophisticated, their success hinges on handling the long tail of rare and context-specific scenarios,” said Ahmed Rashad, CEO of Perle.
“Decentralizing this process can unlock global participation, reduce bias, and dramatically improve performance.”
The self-serve platform supports the full AI development lifecycle, from multimodal data collection (audio, image, video) to reinforcement learning from human feedback (RLHF) and assistant fine-tuning, combining human expertise with adaptive workflows to improve speed and accuracy.
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