Luel recently launched!

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^{"Curated, rights-cleared training data from verified contributors. Buy premium datasets or earn by contributing."}

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^{TL;DR: Luel is a rights-cleared data marketplace + collection engine. Their difference is speed and edge cases: AI enterprises request datasets to spec, they mobilize a global contributor network, and deliver licensed, audit-ready data within days.}

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Luel Launch Video

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Founded by William Namgyal & Inigo Lenderking

• William Namgyal - CEO
  2x Founding Engineer, Berkeley M.E.T. Dropout
• Inigo Lenderking - COO
  Prev. Machine Learning Researcher, Berkeley CS Dropout

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The Problem‍

Frontier labs have hit a wall: public web data is tapped out, synthetic-only pipelines risk degeneration, and the next generation of models needs rights-cleared multimodal data that doesn’t exist at scale.

• Companies are spending huge budgets on generic, low-signal datasets from legacy vendors
• The internet’s “easy data” is largely exhausted, what’s left is low-signal, repetitive, or messy
• Most datasets fail production requirements: unclear rights, weak provenance, missing consent, inconsistent metadata

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The Solution

Luel delivers to-spec multimodal datasets with clean provenance:

• Custom collections: you specify exactly what you need; they scope, recruit, QA, and deliver
• Off-the-shelf licensing: completed collections become ready-to-license catalogue datasets (ranging from patient-doctor conversations in south Asia to gemstone manufacturing footage for robotics)
• Rights trail included: built for procurement + compliance from day one (consent evidence, chain-of-title, QA logs)

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How it works

• AI teams submit a dataset spec (modality, scenario, instructions, devices, QA rules)
• They post a listing and instantly match vetted contributors
• Submissions run through multi-stage QA and are delivered within days.

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Learn More

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^{🌐 Visit www.luel.ai to learn more.}

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^{🙏 If you’re training multimodal / robotics / speech models and need data, the team would love to talk. Intros to heads of data, applied research, or model training teams would be appreciate, reach the founders here.}

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^{👣 Follow Luel on LinkedIn.}

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