The Enterprise AI Layer That Transforms Search, Browse, and Recommendations into Strategic Revenue Drivers
Increase revenue and average order value by connecting every shopper to the right product and turning discovery into a high performing conversion engine.
Create a unified discovery layer that removes friction, prevents zero result sessions, and delivers consistent experiences across text, visual, and behavioral inputs.
Shift from reactive tuning to predictive optimization with automated relevance updates and simple no code tools that give teams full command of performance.
Realize impact quickly with a headless, composable architecture that integrates easily into existing systems and delivers fast, measurable return on investment.
Validate Performance with Measurable Outcomes and Enterprise Proof Points
A cloud neutral, horizontally scalable architecture distributes indexing and retrieval workloads across multiple nodes. Caching layers, optimized ranking pipelines, and lightweight API responses ensure fast performance for complex queries, even during peak promotional periods or large catalog updates.
Behavioral modeling, contextual cues, and product attribute relationships allow the system to deliver relevant results even without historical data. For new products, semantic embeddings and attribute mapping allow accurate placement in ranking and recommendation flows from the moment of ingestion.
Images are converted into embedding vectors that map color, texture, shape, and style attributes. The system detects multiple items within one image and aligns them to product attributes and catalog metadata, allowing precise visual matching and complete look reconstruction.
The platform provides REST APIs, SDKs, and composable connectors for ecommerce engines, CMS, PIM, CDP, and analytics systems. Integration does not require replatforming and supports phased rollouts where search, browse, and recommendation endpoints can be activated independently.
