License rights-cleared data to train and fine-tune models.
Used by AI and ML teams
8 listings tagged by providers for this use case
38,000 hours of transcribed two-speaker conversations in 22 Indian languages from consented contributors, with dialect, age band, environment and device metadata.
Speech recorded to your script, languages, demographics and acoustic conditions by consented contributors in India and South Asia, transcribed and delivered with consent records.
Native-speaker annotators for RLHF preference ranking, response rating, classification and entity tagging in 22 Indian languages, with gold checks and agreement reports.
62 billion deduplicated tokens of licensed text in 22 Indian languages and Indian English, with source, licence, domain and quality tags on every document.
Public product reviews from Indian online stores with star ratings, language detection and aspect-level sentiment; reviewer names and profiles are removed at collection.
1.4 million grocery and pharmacy shelf photos from Israel and Europe, labelled with SKU-level bounding boxes, price tags and out-of-stock gaps for shelf analytics models.
Synthetic tables trained on your data inside your own cloud, or rendered images from 3D assets, delivered with fidelity scores and privacy test results for each dataset.
9,500 hours of urban and highway dashcam video from Israel and Europe with faces and licence plates blurred, tagged by weather, lighting, road type and driving events.
AI model training needs large volumes of data that is relevant, high quality and licensed for the purpose. Buying rights-cleared data reduces legal risk and gives you content that public web crawls do not contain.
LLM training data includes licensed text corpora, instruction and dialogue data and domain documents for pre-training and fine-tuning. Image datasets supply labelled or unlabelled images with rights cleared for model training. Speech and audio data provides transcribed recordings across languages, accents and acoustic conditions for speech recognition and synthesis.
Confirm in writing that the licence permits AI training and says whether trained models can be used commercially. Ask how the data was collected, whether contributors consented and were paid, how personal data was handled and what the provider will warrant or indemnify. Check quality through label agreement rates, duplication and balance across languages or classes.
Last reviewed on 11 Nov 2026
Describe the result you are after and the data you think you need. Providers reply with proposals and samples.