Integration with catalogs, content, and databases
Search covers all key sources, from product pages to internal documents. Results are shown in one window, grouped by source.
AI Search understands query intent, finds relevant data, learns, and offers recommendations based on user behavior.
Our clients
We implement semantic search with ML-based relevance.
Integration with catalogs, PIM, and CRM enables accurate search for content, products, and documents across all systems
Search is the entry point to any process.
When it does not work, users lose hours and the business loses money.
We implement intelligent search that understands meaning, not just matches. AI Search: fast access to data, content, and products without errors
Query analysis algorithms take context, synonyms, morphology, and even mistakes into account. Users find what they meant, not what they typed by accident.
Search covers all key sources, from product pages to internal documents. Results are shown in one window, grouped by source.
AI analyzes what users search for, what they click, and where they fail to find results, then adjusts the results. This makes search personalized and self-learning.
Fewer support requests, less time spent navigating, and more focus on tasks. Search stops being a technical pain point and becomes a working tool.
From keyword search to an AI engine that understands query intent. The solution includes:
We configure semantic search with morphology, synonyms, and user mistakes in mind
We integrate with catalogs, product databases, content, documentation, and CRM
We train the model on user behavior: what they search for, where they do not find results, and what they click. Business outcomes:
Employees and customers find what they need on the first try, without repeated attempts or frustration
The number of support requests and time spent on routine tasks decreases
Conversion in e-commerce and the efficiency of internal processes improve Solutions without unnecessary complexity, from idea and analysis to results
We consult We discuss goals and tasks, define priorities, and set expected outcomes for the joint work
We analyze your processes We study current processes and approaches, identify growth points, and determine which solution will deliver tangible results
We plan the solution rollout We discuss goals and tasks, define priorities, and set expected outcomes for the joint work
Launch and support We implement the solution, train your team and provide support so the solution delivers tangible value
We implement search that understands query intent. We set up integration with catalogs, databases, and CRM, and train the model on your data. 1-1.5 months - setup and launch of AI search 10+ major deployments in e-commerce and enterprise systems 50% fewer support requests for finding data and products 90% query result relevance within the first weeks Customer reviews