How enterprises use LLMs to find answers when on-prem is required to protect corporate IP.

Centralize all of the public and permissioned content to provide a private enterprise-wide generative AI chat experience using the set of knowledge each user has access to.

Your private cloud of choice, your model of choice.

Search that returns results.

Quickly answer the questions your team is asking (again, and again, and again...)

Less frustration, more finding.

Forget where you saw that document, ticket, presentation, email, message, ..?
Find whatever you need from wherever you work.
Search that actually works.

Office 365 Jira Slack SharePoint Gmail Github Google Workspace Google Drive Azure AD Notion Okta Linear Confluence Bitbucket ServiceNow GitLab PagerDuty

Build your collective wisdom.

Discover the impact when teams can self-serve the knowledge they need, right when they need it.

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Related, not relocated

Don't change where you work. Find answers across every app instantly from wherever you are and find the connections that matter.

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Personalized relevance

Stop sifting through irrelevant results. Use your connections to your colleagues - your collaboration graph - to find relevance.

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Your data, your index

Stay in control of your data by hosting on your own infrastructure (AWS or Azure). Get setup in under 2 hours.

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Choice of Large Language Models

Turn your siloed knowledge into collective wisdom by leveraging LLMs of your choice for chat, question/answering, summarization, and more.

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