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Perle AI specializes in expert-in-the-loop data annotation and training, providing high-quality training data for AI models with a focus on speed and precision.
Perle AI has raised $16.0M across 2 funding rounds.
Perle AI has raised $16.0M in total across 2 funding rounds.
Perle AI has raised $16.0M across 2 funding rounds. Most recently, it raised $9.0M Seed in August 2025.
| Date | Round | Lead Investors | Other Investors | Status |
|---|---|---|---|---|
| Aug 1, 2025 | $9M Seed | Framework Ventures | Andreessen Horowitz, NOT Boring Capital, Susa Ventures | Announced |
| Oct 1, 2024 | $7M Seed | — | Alpine Meridien, AME Cloud Ventures, David Ibnale, Battery Ventures, CoinFund, Foundation Capital, Framework Ventures, GPO Fund, Hardware Club, Humbition, Inovia Capital, RRE Ventures, Tribeca Venture Partners, Zeev Capital, Assaf Wand, Bill TAI, Erik Matlick, Frank Barbieri | Announced |
Perle AI is a technology company building an expert-in-the-loop platform for high-quality AI training data, specializing in data collection, annotation, evaluation, and fine-tuning for LLMs, multimodal AI, and RLHF.[1][4][5][6] It serves AI developers and organizations tackling complex use cases like agentic training, autonomous vehicles, and healthcare by addressing key limitations in current models—such as biases, inaccuracies in nuanced scenarios, and insufficient diverse datasets—through human expertise combined with adaptive workflows.[1][3][4] Perle has raised $17.5M total ($9M seed led by Framework Ventures plus pre-seed), fueling the launch of Perle Labs, a Web3-powered ecosystem that incentivizes global contributions via on-chain proof-of-work, transparent payments, and verifiable attribution to scale data quality and reduce biases.[1][2][3][4] This positions Perle with strong growth momentum, already supporting leading companies in scaling sophisticated AI processes.[1][4]
Perle was founded by AI veterans including CEO Ahmed Rashad (experience from oil rigs, MIT, Scale AI), Sajjad (PhD from TS Montreal, work at MILA on AI research, audio, ML, and AI safety), and others from Meta, Amazon, Berkeley, and Scale AI.[2][4][5] The idea emerged from recognizing that advanced AI models falter on rare, ambiguous, or context-specific data, where human judgment outperforms automated systems—like benchmarks showing 70%+ superiority over Amazon Rekognition—prompting a decentralized, human-centric approach to data infrastructure.[1][3][4] Early traction built through a self-serve platform handling multimodal data (audio, image, video), RLHF, and full lifecycle support, leading to $17.5M in funding by August 2025 and the launch of Perle Labs as a crypto-native ecosystem for equitable data sourcing.[1][2][3][4]
Perle rides the agentic AI and next-gen model training trend, where scaling LLMs demands diverse, high-quality human feedback to handle long-tail data gaps amid exploding multimodal and RLHF needs.[1][4] Timing is ideal post-2025 funding boom, as market forces like rising AI compute costs and bias regulations favor decentralized data economies over centralized providers.[1][2][3] By democratizing contributions via Web3, Perle influences the ecosystem toward more inclusive, safer AI—fostering global participation, verifiable quality, and reduced systemic biases—while empowering startups and enterprises to build resilient models faster.[1][4][7]
Perle is poised to dominate human-centric AI data infrastructure, with $17.5M enabling Perle Labs expansion, R&D acceleration, and market reach into high-stakes sectors like healthcare and autonomy.[2][3][4] Trends like decentralized AI economies, stricter data provenance rules, and multimodal agent proliferation will amplify its edge, potentially evolving it into a core protocol for equitable model training. As AI hinges evermore on verifiable human wisdom, Perle's mission to make progress smarter, safer, and inclusive will redefine data as the ultimate competitive moat—fueling the very advancements it enables.[1][4]
Perle AI has raised $16.0M in total across 2 funding rounds.
Perle AI's investors include Framework Ventures, Andreessen Horowitz, Not Boring Capital, Susa Ventures, Alpine Meridien, AME Cloud Ventures, David Ibnale, Battery Ventures, CoinFund, Foundation Capital, GPO Fund, Hardware Club.
