Perle Secures $9m Seed Funding for AI Training Data Platform
PorAinvest
jueves, 7 de agosto de 2025, 1:06 pm ET1 min de lectura
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Perle's platform aims to improve the quality and diversity of data used to train AI models. By integrating blockchain infrastructure and incentive design, Perle Labs will provide transparent payments, on-chain attribution, and verifiable work histories. This approach is expected to unlock global participation and enhance data quality at scale [1].
The company's CEO, Ahmed Rashad, noted that high-quality human-in-the-loop annotation can outperform advanced AI models like Amazon Rekognition by over 70% in certain scenarios. This underscores the importance of human input in closing critical data gaps and improving model performance [1].
Perle's self-serve platform supports the full AI development lifecycle, including multimodal data collection (audio, image, video, etc.), reinforcement learning from human feedback (RLHF), and assistant fine-tuning. The platform is already supporting leading companies in scaling agentic training processes across complex use cases [1].
With the latest funding, Perle plans to accelerate its vision to make high-quality human feedback the foundation of next-generation AI. The company's mission is to build infrastructure that ensures progress is not just faster, but smarter, safer, and more inclusive [1].
References:
[1] https://finance.yahoo.com/news/perle-secures-9-million-seed-163000049.html
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Perle, an AI training data platform, has raised $9m in seed funding. The company provides data for machine learning models, which can be used for a variety of applications such as autonomous vehicles and healthcare. The funding will help Perle expand its business and develop new products.
Perle, an AI training data platform that combines human expertise with adaptive workflows, has raised $9 million in seed funding. The round, led by Framework Ventures, brings Perle's total funding to $17.5 million across its seed and pre-seed rounds. This new capital will support the launch of Perle Labs, a crypto-native ecosystem designed to transform how human input powers AI [1].Perle's platform aims to improve the quality and diversity of data used to train AI models. By integrating blockchain infrastructure and incentive design, Perle Labs will provide transparent payments, on-chain attribution, and verifiable work histories. This approach is expected to unlock global participation and enhance data quality at scale [1].
The company's CEO, Ahmed Rashad, noted that high-quality human-in-the-loop annotation can outperform advanced AI models like Amazon Rekognition by over 70% in certain scenarios. This underscores the importance of human input in closing critical data gaps and improving model performance [1].
Perle's self-serve platform supports the full AI development lifecycle, including multimodal data collection (audio, image, video, etc.), reinforcement learning from human feedback (RLHF), and assistant fine-tuning. The platform is already supporting leading companies in scaling agentic training processes across complex use cases [1].
With the latest funding, Perle plans to accelerate its vision to make high-quality human feedback the foundation of next-generation AI. The company's mission is to build infrastructure that ensures progress is not just faster, but smarter, safer, and more inclusive [1].
References:
[1] https://finance.yahoo.com/news/perle-secures-9-million-seed-163000049.html
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