Product Intelligence
Structure the unstructured at catalog scale. Extract attributes and assign taxonomy in under 40ms per item.
Two specialist models replace manual catalog enrichment and brittle rule-based categorization. Each handles one facet of product data: attribute extraction from sparse listings and taxonomy assignment from ambiguous titles. New catalog schemas deploy via LEAP same-day.
2 specialist models
How It Works
One specialist model per catalog task,
enriching at the speed of ingest
Invisible Products Made Discoverable
Marketplace sellers submit sparse listings: 'Blue shirt, comfortable fit' with no material, size, or style tags. These products vanish from filtered search. A specialist LFM extracts structured attributes from unstructured descriptions at catalog scale. 10M listings enriched overnight at a fraction of cloud cost. Every missing attribute is a product no shopper will find.
Taxonomy That Adapts to Your Catalog, Not the Other Way Around
'Apple AirPods' in Grocery, not Electronics. Every mis-categorized product is invisible to browsing customers. Rule-based classifiers are brittle on ambiguity. A specialist LFM assigns taxonomy categories at 17ms, handling edge cases that keywords cannot resolve. New taxonomy version? LEAP re-trains same-day. Full catalog re-categorization at a fraction of cloud cost.
Try each model
All Demos
Product Attribute Extraction
Extract structured attributes from unstructured product descriptions at catalog scale
2M SKUs with missing attributes = 2M invisible products. Enrich your entire catalog at a fraction of cloud cost
Product Categorization
Assign taxonomy categories to products from titles and descriptions, handling ambiguity at scale
Every mis-categorized product is invisible to browsing customers. Re-categorize your full catalog overnight
Ready to deploy in your environment?