Knicket App Search is an AI-powered search platform that helps organizations enhance search and discovery for internal applications. It indexes metadata from enterprise apps and uses natural language processing, machine learning, and embedded analytics to deliver enhanced findabi
Discover internal applications with ease using Knicket App Search, an AI-powered search platform that indexes metadata and delivers enhanced findability, recommendations, and insights.
What is Knicket App Search?
Knicket App Search is an AI-powered enterprise search and discovery platform designed specifically for internal applications. It crawls, indexes, and understands metadata from across an organization's SaaS, web, mobile, database, and on-premises apps to deliver intelligent search experiences.
Key capabilities and benefits include:
Enhanced findability - Knicket understands language and context to deliver more relevant results for common business queries.
Personalized recommendations - Uses machine learning to recommend the best apps based on an employee's role, recent activity, and organizational trends.
Embedded analytics - Analytics are built directly into the search results page so users can filter, analyze and visualize app usage metrics as they search.
Single search box - One search box provides access to all internal apps instead of needing to visit dozens of siloed interfaces.
Easy integration and configuration - Simple API-based integration with existing apps. Easy admin configuration of search relevance, taxonomies, access controls and more.
By enhancing search and discoverability of tools, data, and answers across an organization's knowledge landscape, Knicket App Search helps drive productivity, collaboration and innovation.
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