Provides scalable, legally cleared multimodal training data—custom collections or off‑the‑shelf—sourced from vetted contributors with provenance and multi‑stage quality checks.

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AI labs, researchers and developers use Luel to source training and evaluation data that is difficult to find in existing datasets, such as regional speech, real-world conversations and first-person video. Buyers can browse datasets for licensing or request a custom collection tailored to a project’s modality, scenario and quality requirements. Luel coordinates collection through a network of contributors, with task instructions, submission review and quality checks. Data may include audio, video, images and human evaluations, with transcripts, labels or other metadata where a project requires them. Deliveries include rights and provenance documentation, helping teams assess where data came from and how it can be used. Contributors can also take part in eligible data-collection tasks and receive payment for accepted submissions.

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