Top 161 Enterprise Search Software SaaS Companies in July 2026
As of July 2026, there are 161 SaaS companies in Enterprise Search Software. They have combined revenues of $2B and employ 14.2K people. They have raised $3.8B and serve 15.8M customers combined.
Enterprise search software is a category of applications designed to provide organizations with a unified search capability across multiple internal data sources. This software enables users to effectively locate and retrieve relevant information from documents, databases, and other enterprise applications, streamlining access to knowledge and enhancing decision-making processes. Common use cases include knowledge management, customer support, and data discovery, where quick access to information is critical.
Typical features of enterprise search software include advanced search algorithms, natural language processing, data indexing, and integration with various sources such as intranets, content management systems, and cloud storage. Users span various departments such as IT, HR, and customer service, all benefiting from improved efficiency in finding relevant data quickly. This software is particularly useful for organizations looking to enhance employee productivity and optimize the utilization of their vast information resources.
Exa was built with a simple goal — to organize all knowledge. After several years of heads-down research, we developed novel representation learning techniques and crawling infrastructure so that LLMs can intelligently find relevant information.
Liner is an AI search engine for students and researchers.
Liner AI Search helps users find reliable knowledge in seconds based on reliable references using AI technology.
Reliable AI comes from a source of reliable knowledge. Liner selects reliable sources based on highlighting data accumulated since 2015 and provides accurate answers.
Liner empowers students by combining the power of Large Language Models (LLM) with a unique database of trusted sources, enabling faster and more relevant information discovery.
Over 10,000,000 users globally love Liner and it was recognized by a16z as the 4th most used Generative AI product on the web. We want to help more students and researchers access high-quality information easily, thus saving time during research.
Qdrant is an open-source vector search engine. It deploys as an API service providing a search for the nearest high-dimensional vectors. With Qdrant, embeddings or neural network encoders can be turned into full-fledged applications for matching, searching, recommending, and much more.
Capture, Search, Analyze and Automate Document and Web Data.
Automate your data. Accelerate your growth.
Botminds, an AI-first platform, for unstructured documents, delivers 10x efficiency in weeks.
Developer of a cloud search platform intended to build search applications and less time managing, maintaining and monitoring it. The company's platform utilizes virtual peering for automating the provisioning, management, scaling and optimization for search conversion analytics, query level details and session level analytics, enabling clients to discover and track areas of improvement that can lead to increased click through, improved average click position and increase revenue.
Hundreds of millions of consumers are now using AI Search like ChatGPT or Perplexity to discover brands and products.
Profound has developed the first analytics platform to help enterprise brands understand and improve how they show up in AI Search.
Provider of cloud-based log management and server monitoring platform designed to search terabytes of logs in seconds. The company's platform offers server monitoring, log management, visualization and analysis tools that aggregate all the server logs and metrics into a centralized system in real time and crunches terabytes of logs in less than a second, enabling development operation teams to find and resolve more incidents in less time, all from one screen troubleshooting.
- Must enable searching across multiple internal data sources
- Must include features like advanced search algorithms and natural language processing
- Must provide a unified interface for accessing information
- Should support integration with existing enterprise applications
- Not just a basic search tool; must also include capabilities for content indexing and data retrieval
- Should cater to multiple user personas such as IT professionals, HR, and customer support teams
- Must enhance knowledge management and decision-making processes
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