Semantic search and computer vision for retail, shipped to production.
From catalog search that understands what shoppers mean to shelf-image analysis that catches stockouts before they cost sales — built on your real catalog and store data.
What we build for retail
Semantic Catalog Search
Vector search with re-ranking across your product catalog, so shoppers find what they mean, not just what they typed.
Shelf & Inventory Vision
Computer vision over store photos that catches out-of-stocks and misplaced items before they cost sales.
Backend Engineering
APIs, data pipelines, and infrastructure that hold up under real production traffic.
AI Integrations
LLM agents, RAG search, and automation grounded in your real data — no hallucinated capability.
Proof, not promises
RetailRead the case study →
+25% search conversion with semantic catalog search
Retrieval-augmented search and recommendations across a large retail product catalog.
+25%
Search conversion
−35%
Query latency
100k+ SKU
Catalog coverage
RetailRead the case study →
+18% product availability with shelf-image analysis
Computer vision that analyzes shelf photos from stores to catch out-of-stocks and misplaced items.
+18%
Product availability
150+
Stores monitored
−70%
Audit time
FAQ
Does this plug into our existing store-ops pipeline?−
Yes — alerts and results stream straight into your store-ops dashboards, no separate tool for teams to check.
How long is a typical engagement?+
Do you work with in-house engineering teams?+
Ready to ship AI across your stores?
Tell us about your project — we'll reply within one business day.