Optimize your search ranking algorithms with precision boosting and burying signals, fine-tuned scoring functions, and custom relevance models tailored to your domain.
More DetailsImprove how your search engine interprets user queries through advanced query parsing, intent classification, synonym expansion, and spell correction pipelines.
More DetailsLeverage machine learning models to learn optimal ranking functions from user behavior data, click-through signals, and human relevance judgments.
More DetailsGain deep insights into search performance with comprehensive analytics dashboards, tracking key metrics like NDCG, MRR, click-through rates, and zero-result queries.
More Details
Deep domain knowledge in search relevance, information retrieval, and natural language processing
We begin with a comprehensive audit of your current search system, analyzing query logs, ranking quality, and identifying the highest-impact opportunities for improvement.
Go beyond keyword matching with vector embeddings and semantic search techniques that understand meaning, context, and user intent for more relevant results.
Establish robust evaluation pipelines with offline metrics, A/B testing frameworks, and human judgment programs to continuously measure and improve search quality.
Search relevance is never "done." We provide ongoing monitoring, iterative tuning, and training for your team to ensure search quality improves continuously.
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.
