Perle, an AI training data platform powered by Web3 that brings human wisdom to AI models, today announced it has closed a $9 million seed round led by Framework Ventures. The round brings Perle’s total funding to $17.5 million across its seed and pre-seed rounds, marking a major milestone in the company’s growth and mission to improve how AI systems are trained and evaluated.
Perle Labs
With this new capital, Perle will launch Perle Labs, a crypto-native ecosystem designed to transform how human input powers AI. By integrating blockchain infrastructure and incentive design, Perle Labs will provide transparent payments, on-chain attribution, and verifiable work histories—unlocking global participation and improving data quality at scale.
Global Participation
“As AI models grow more sophisticated, their success hinges on how well they handle the long tail of data inputs—those rare, ambiguous, or context-specific scenarios,” said Ahmed Rashad, CEO of Perle. “In our benchmarking, we’ve seen high-quality human-in-the-loop annotation outperform Amazon Rekognition by over 70%—proving that thoughtful human input is essential to closing critical data gaps. By decentralizing this process, we can unlock global participation, reduce bias, and dramatically improve model performance.”
AI Models
While today’s AI models are only as good as the data they’re trained on, even the most advanced systems continue to struggle with complex, nuanced tasks. Perle Labs aims to address these limitations by expanding access to high-quality, diverse, and verified data sets, thus rewarding contributors, establishing on-chain proof of work, and empowering a global community to actively participate in shaping AI.