Perle AI (formerly Kiva AI) is an AI blockchain technology making waves in the industry, combining human capabilities and Web3 technology to collect data, annotate it, evaluate services using a system called multimodal data collection and reinforcement learning from human feedback (RLHF), and rewarding active participation.
With the launch of its recent public beta, users and contributors to its ecosystem can earn returns from training data on its platform by performing small tasks, such as validating audio, tagging images, and identifying objects in clips, which helps fine-tune the next generation of models.
The team is comprised of Arthur Ding, CCO of the project, and others who have spent years as part of an AI team at Meta, Amazon, Scale, and MIT, building a human feedback foundation of AI training.
The team states, “We believe training AI is a social ecosystem, one where more people, with the right context, create better outcomes than just adding more parameters. Human wisdom isn’t a bottleneck. It’s the multiplier.”
Source – Perle Funding
Backed by $17.5M from top-tier funds, Perle is scaling across sectors such as healthcare, legal, and finance, where data accuracy matters most, and building a crypto-native platform where human experts train AI systems.
With this new $9M seed round led by @hiFramework, Perle Labs rewards the people behind the data that makes models smarter.
AI doesn’t just need bigger models. It needs better data, context-rich, human-labeled, and continuously evaluated. AI companies benefit massively from quick access to: high-quality, edge-case-rich data, context-aware labeling, real-world evaluation for LLMs, RLHF, and generative AI. The secret isn’t just scale, it’s precision.
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