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AI training data for LLM & ML teams
Foundation models, RAG systems, recommendation engines, fine-tuned LLMs — all need clean, structured, licensed data. We provide curated e-commerce datasets: products, prices, reviews, attributes, images — formatted exactly for AI training pipelines.
Structured data, ready for your AI/data pipelines.
Product catalogs
50M+ structured product records across categories.
Review corpora
500M+ product reviews with sentiment, ratings, dates.
Price time-series
12-24 months historical price data per SKU.
Image-text pairs
Product images paired with descriptions, attributes.
Attribute taxonomies
Hierarchical product taxonomies, GS1-aligned.
Multilingual datasets
Product data in 9+ languages.
Q&A pairs
Generated from product specs + reviews for fine-tuning.
Synthetic variations
Augmented data for robustness training.
Quality scoring
Each record scored for completeness, accuracy.
The market signals driving demand for this data.
Licensed data is gold
Common Crawl and scraped data have legal risk. Properly-licensed commercial training data is rare.
Structure beats scale
A 5M-row clean dataset beats 100M of noisy web text for product-domain models.
Multi-modal needed
Modern LLMs need image-text pairs. We provide pre-aligned multi-modal datasets.
Annotation costs $$
In-house annotation costs $5-20/hour. Pre-annotated data saves months and budget.
What teams do with this data.
LLM fine-tuning
Domain-specific LLMs for e-commerce, retail, pricing.
RAG system training
Product-specific retrieval augmented generation.
Recommendation models
Train recommendation engines on product attributes.
Vision model training
Multi-modal vision-language models for products.
Search relevance models
Improve search with query-product pairs.
Sentiment models
Pre-labeled review sentiment for fine-tuning.
Pricing prediction
Time-series models for price forecasting.
Product classification
Train classifiers on hierarchical taxonomies.
Synthetic data generation
Bootstrap models for new categories/regions.
From request to first dataset in 24 hours.
Define scope
Categories, geos, refresh frequency.
Free sample
Sample dataset within 24 hours.
Production pipeline
Refresh at your chosen cadence.
Iterate & scale
Expand coverage as needs grow.
FAQs
JSONL, Parquet, CSV, WebDataset, HuggingFace Datasets format. We match your training pipeline's requirements.
Yes. All data sourced from public web with commercial use licensing. We provide license terms and data lineage documentation.
Yes. Tell us your category, language, format, and we curate exactly what you need.
50M+ products, 500M+ reviews, 12-24 months price history. Custom volumes from 100K rows to 100M+ depending on need.
Yes — pre-aligned image-text pairs, attribute-image pairs, structured product knowledge graphs.