Enterprise search companies, products & suppliers
Enterprise search indexes internal systems and returns documents or snippets under existing permissions. Generative answers are optional. Buyer intent is findability and ACL fidelity, not an unconstrained assistant.
What is Enterprise search?
Enterprise search indexes internal systems and returns documents or snippets under existing permissions. Generative answers are optional. Buyer intent is findability and ACL fidelity, not an unconstrained assistant.
What problems does it solve?
Information is scattered across drives, tickets and wikis.
Typical business use cases
- Employee search
- Support knowledge
- Records findability
Important capabilities
- Connectors
- ACL
- Ranking
- Optional generation
What buyers should evaluate
- Connector coverage
- Permission mapping
- Ranking quality
Risks and governance considerations
Broken ACLs surfacing restricted files.
Procurement checklist
- Connectors
- ACL tests
- Residency of the index
Relevant AI Trustmark assurance
Search quality and ACL tests are separate from any generative overlay.
Products and providers
Open a product profile for its catalogue details, or use the provider link for the company profile. Claimed listings appear first, then by name. Payment never changes the order.
Amazon Kendra is an AWS intelligent enterprise search service powered by machine learning. It indexes content from many repositories through built-in connectors and returns natural
By Atlassian
Rovo is Atlassian's AI teammate/search and knowledge layer across Jira, Confluence, and connected work apps. Public marketing also emphasises teamwork graph across Atlassian suite.
By Coveo
Generative search & relevant recommendations. The leading platform for GenAI, AI agents, commerce, customer service, workplace & website experiences. Coveo Relevance Cloud is Coveo
By Glean
Glean sells enterprise AI search over workplace applications. Public pages cover connectors, permission-aware retrieval and an assistant for employees. Glean Enterprise Search is G
By GoSearch
GoSearch is an agentic AI enterprise search platform with AI agents and workflows that find answers across every app your team uses and automate what. GoSearch is GoSearch's softwa
By IBM
International Business Machines Corporation sells hybrid-cloud software, Granite models and enterprise AI tooling. Public pages distinguish IBM software and models from IBM Consult
By Lucidworks
Unlock the power of AI-Powered Enterprise Search to transform data into actionable insights, boost conversions, and enhance customer experiences. Lucidworks Fusion is Lucidworks's
By Microsoft
Microsoft Search is the search experience built into Microsoft 365, reached from the search box in apps such as Outlook, SharePoint, OneDrive for Business and the Microsoft 365 hom
By Notion
Notion Labs sells a connected workspace with Notion AI writing and Q&A features. Public pages cover docs, wikis and project tools for teams. Notion Enterprise Search is Notion's so
By Sinequa
Sinequa delivers enterprise Agentic AI — intelligent agents that search, synthesize, and act on answers grounded in your trusted, internal knowledge. Sinequa Search is Sinequa's so
Products
Claimed products appear first. Ranking packs and payment do not change this list.
- Amazon Kendra· Amazon Web Services
- Coveo Relevance Cloud· Coveo
- Glean Enterprise Search· Glean
- GoSearch· GoSearch
- IBM Watson Discovery· IBM
- Lucidworks Fusion· Lucidworks
- Microsoft Search· Microsoft
- Notion Enterprise Search· Notion
- Sinequa Search· Sinequa
Also used in this category
These products have a different primary category so they do not compete for the same ranking queries. They are listed here because buyers still encounter them in this job.
- Atlassian Rovo· Atlassian
Related categories
Relevant procurement and assurance guides
Frequently asked questions
Overlap with RAG?
Yes in product SKUs. Search intent is retrieval. RAG intent is generated answers. Keep both categories.
What is Enterprise search?
Enterprise search indexes internal systems and returns documents or snippets under existing permissions. Generative answers are optional. Buyer intent is findability and ACL fidelity, not an unconstrained assistant.
What should buyers ask about AI data retention and deletion?
Establish how long prompts, files, traces and embeddings are kept, who can access them, and how deletion is evidenced. Retention in a debug or eval store can outlast the customer contract if it is not in scope.
How can buyers tell whether customer data is used to train models?
Ask whether prompts, files, logs or outputs are used to train, fine-tune or evaluate models, including by subprocessors. Require the contractual default, any opt-out, and whether the setting can be changed silently. Treat marketing 'we do not train' claims as unverified until evidenced.
What model or provider changes should a buyer insist on being told about?
Material change usually includes a new model family, new region, new subprocessor, new write-capable tool, or a change that affects logging, privacy or human oversight. Those changes should trigger evidence refresh rather than a silent release.
How should buyers verify where AI customer data is processed?
Ask for the named processing locations, cloud regions and any subprocessors that see prompts, files or outputs. A directory listing is not evidence of residency. Independent assessment records the locations that were in scope on the assessment date.
Does a TrustMark on one product cover the rest of the company?
No. Independent assessment is scoped to the named organisation and, where relevant, the named product. Category pages list suppliers as a topic label. They do not imply that every listed company has been assessed.
What incident-handling evidence is useful for AI suppliers?
Buyers should see how AI-specific failures are detected, contained and notified — including unsafe outputs, data leakage and unauthorised agent actions. An incident policy that never mentions models, prompts or tools is incomplete for this class of product.