Framework Ventures leads $9 million seed round for web3-powered AI project Perle
Perle Labs will use blockchain incentives and onchain attribution to pay users for high-quality human feedback across the AI training lifecycle

Quick Take
- Framework Ventures has led a $9 million fundraising round into Web3-powered AI project Perle.
- Perle is attempting to improve AI training using blockchain attributions and cryptoeconomic incentives for âhigh-quality human feedback.â
Web3-powered AI project Perle has raised an additional $9 million in a seed round led by Framework Ventures. This brings the startupâs funding to a total of $17.5 million as it looks to build a product that ârewards users for reviewing and contributing accurate data sets to AI systems.â
With the fresh injection of capital, Perle will launch Perle Labs, a product using blockchain rails and incentives for user payments and onchain attributions in an attempt to improve how AI models are trained. Perle offers "curated" data and human reviewers, according to its website.
âAs AI models grow more sophisticated, their success hinges on how well they handle the long tail of data inputs â those rare, ambiguous, or context-specific scenarios,â said Ahmed Rashad, CEO of Perle and former Scale AI employee. âBy decentralizing this process, we can unlock global participation, reduce bias, and dramatically improve model performance.â
The product is based on the idea that the progress in AI âwill be driven more by better data than by simply scaling models,â Framework co-founder Vance Spencer said in a statement.Â
"LLMs aren't failing because they run out of room to thinkâthey're failing because they don't know how to think when abstraction breaks their training patterns," Perle wrote in a recent paper. "Instead of asking LLMs to magically reason through complexity, we need to feed all AI systems better, more structured inputs."
Although companies like Anthropic, OpenAI, and xAI have released powerful closed-source text and image generation models, it is sometimes unclear for casual users to judge the quality of the input data â a process Perle thinks can be improved through âhigh-quality human feedback.â
The startup will offer a âself-serve platformâ for the full AI development lifecycle â from multimodal audio, image, and text data collection to model fine-tuning, according to the announcement.
Perle previously raised an $8.5 million pre-seed round in October 2024 led by CoinFund.
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