Search Relevance
We use advanced search algorithms to determine which document is most relevant to a particular query to produce highly relevant search results. We improve search relevance by analyzing data, including text in a search query, metadata associated with that query, and other available signals.
Core Capabilities
Advanced technology built for enterprise scale.
Query Search
We use machine learning algorithms and NLP techniques to enable search engines to identify relevant content based on the user's search query and context.
Extracting Keywords
We use NLP techniques to extract relevant words and phrases from the search query accurately.
Generating Keywords
We then use these words and phrases to generate a list of relevant keywords to be used in the search query for better indexing.
Search Rankings Visibility
Gathering and analyzing information about a business' search rankings, performance, and visibility on search engines including keyword research and competitor analysis.
Time Benefiting Factor
Using advanced analytics to determine the right time to launch a product or service by analyzing search relevance datasets from various sources.
Proven Applications
See how industry leaders are leveraging our solutions in production environments.
Discuss Your Use Case
Online Service Providers
Customers are able to get the most relevant search results for the services or products as they shop online, increasing conversion rates.
Recruitment & Job Search
A candidate as well as a recruiter gets the most relevant search results based on their queries which includes job type, location, and experience.
Academics
It is important to be able to find the exact academic reference while searching for a topic, journal, or specific research page.