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Discovery, conversion, and merchandising — powered by AI that ships.

Semantic search that understands intent, recommendations that don't repeat “customers also bought,” generative product content, and SKU matching at 99% accuracy.

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Why this industry is hard for AI

  • !Keyword search misses intent — shoppers bounce when they can't find products.
  • !Catalogs are inconsistent, with duplicate and mismatched SKUs.
  • !Generic recommendations leave conversion and AOV on the table.

How we solve it

  • Semantic search and vector retrieval tuned to your catalog and shopper language.
  • SKU matching and catalog enrichment at scale, with 99% accuracy targets.
  • Personalization that adapts to real-time behavior, not just purchase history.

Top use cases for Retail & E-commerce

Semantic Product Search

Understand intent, synonyms, and natural-language queries.

SKU Matching & Enrichment

De-dupe and complete catalogs at 99% accuracy.

Generative Product Content

On-brand titles, descriptions, and attributes at scale.

Personalized Recommendations

Real-time, behavior-aware suggestions that lift AOV.

Compliance & Trust

SOC 2ISO 27001GDPRPCI-aware

Privacy-respecting personalization with consent-aware data handling.

Semantic search lifted on-site conversion double digits in the first quarter.
VP, Digital · Omnichannel Retailer

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Tell us your Retail & E-commerce workflows — we'll map the highest-ROI AI opportunities for your team.

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