Search is only as good as the data. We automate attribute extraction, taxonomy mapping, and data normalization to ensure your catalog drives relevant results from day one.
More DetailsMove beyond keyword matching to semantic understanding. We design embedding model selection, retrieval pipelines, and RAG architectures that power AI-driven search experiences.
More DetailsThe core of search value. We implement Learning to Rank models, design A/B tests, and use clickstream signal boosting to measurably improve conversion and reduce null-result rates.
More DetailsYou can't improve what you can't measure. We create ground truth sets, run precision/recall audits, and build human-in-the-loop evaluation programs that make search quality visible and actionable.
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Our clients see measurable impact: higher conversion, lower bounce rates, and search experiences that drive business growth
We audit your catalog data quality, taxonomy structure, and attribute coverage to identify gaps that silently degrade search relevance and cost you conversions.
We design and deploy embedding strategies and Retrieval Augmented Generation pipelines that move your search from keyword matching to true semantic understanding.
We implement Learning to Rank models, signal boosting, and A/B test frameworks that systematically improve ranking quality and drive measurable lifts in conversion.
We build ground truth sets, precision/recall audit pipelines, and human-in-the-loop evaluation programs so you can prove ROI on every search change you ship.
We partner with product and engineering teams to transform search from a pain point into a competitive advantage. Here is what our clients have to say about working with Cognitivi.
Cognitivi helped us overhaul our product search relevance across thousands of categories. The improvements to our ranking pipeline directly moved the needle on search conversion and customer satisfaction.
Our customers search for everything from specific SKUs to broad project ideas. Cognitivi built a query understanding layer that handles both beautifully, and our zero-result rate dropped significantly.
Cognitivi brought deep expertise in relevance evaluation and ranking model design. Their work on our internal search tooling set a new standard for how we measure and iterate on search quality.
Grocery search is uniquely challenging with brand preferences, dietary filters, and substitution logic. Cognitivi understood these nuances from day one and delivered relevance improvements we could measure immediately.
Our beauty customers search in ways that don't map neatly to product attributes. Cognitivi implemented semantic search and synonym expansion that finally made our search feel intuitive and personalized.
