InSearch
How it works
Enterprise search software AI work assistant Knowledge base search AI enterprise search Internal knowledge search Workplace search Search all company apps AI knowledge assistant Unified search Search Slack & Drive AI assistant for work Knowledge management RAG for enterprise Cited AI answers Confluence search Notion search AI for support agents Sales enablement search Engineering search HR knowledge assistant Permission-aware search Secure AI search Onboarding knowledge SharePoint search See all →
Glean alternative GoSearch alternative Dust alternative Guru alternative Coveo alternative Microsoft Copilot alternative Amazon Kendra alternative Lucidworks alternative Moveworks alternative Sinequa alternative Atlassian Rovo alternative Glean pricing Hebbia alternative Onyx alternative Bloomfire alternative
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Compare · Dust

Dust alternative: cited, permission-aware search across your work apps

Dust is a strong AI platform for building assistants and agents on top of your company data, and teams who want to assemble custom workflows value that flexibility. The point people raise when they look at Dust alternatives is that they often just want the core outcome, one great search across every app with a trustworthy cited answer, without building and maintaining agents to get there.

or see the comparison ↓

One search · cited answers · permission-aware

Answer Console
Permission-aware · no PII
Try
Sources

Ask your company anything

InSearch searches across Drive, Slack, Notion, Confluence, Gmail, Jira and Salesforce in one query and returns a written answer with citations, only ever from sources you're allowed to see.

Drive Slack Notion Confluence Gmail Jira Salesforce
↓ one clear, cited answer

Searching connected apps

Working

Answer

Only sources you have access to
Sources

Live, interactive · cited answers

Every answer cited to its source documents · permission-aware · never trains on your data

InSearch is that, out of the box. It searches Drive, Slack, Notion, Confluence, Gmail, Jira and Salesforce in one query and returns a written answer with inline citations, with item-level permissions enforced at query time and no training on your data. There is nothing to assemble: you connect your apps and ask, and the cited, permission-aware answer is the product.

Dust is a flexible platform for building AI assistants and agents on company data. InSearch is the focused, out-of-the-box outcome: cross-app, cited, permission-aware search with no agents to build.

Side by side

Dust vs InSearch, honestly

A fair look at what each does well. Both are capable tools. Here is where they differ.

What matters InSearch Dust
Cross-app unified search One query across Drive, Slack, Notion, Confluence, Gmail, Jira and Salesforce Connects company data sources for assistants
Setup model Connect apps and ask, the cited answer is the product Build and configure assistants and agents
Cited answers Written answer with inline citations to the exact source docs Assistant responses over connected data
Permission-aware Item-level permissions enforced at query time Data access controls for connected sources
Training on your data Never trains on customer data, encrypted under SOC 2 practices Configurable model and data controls
Best suited for Teams that want cited cross-app search without building agents Teams that want to build custom AI workflows

Comparison reflects general, publicly understood positioning. Capabilities change, so check each product for the latest.

Why teams pick InSearch

One cited, permission-aware search across every app

Outcome, not assembly

Connect your apps and ask; the cited, permission-aware answer works immediately, with no agents to build or maintain.

Cited and scoped

A written answer with inline citations, scoped to exactly what each person can see.

Never trained on

Your content answers your questions and is never used to train models.

Good questions

Dust vs InSearch, answered

If you want the search outcome rather than a platform to build assistants, yes. InSearch delivers cross-app, cited, permission-aware search out of the box, so you connect your apps and ask instead of assembling and maintaining agents.
InSearch focuses on doing one thing extremely well, finding and citing the answer across your apps, with source-app filters and follow-ups. It trades agent-building flexibility for an immediate, trustworthy answer.

More comparisons

See how InSearch compares

vs Glean

Glean alternative

The same cited, permission-aware search, easier to start.

 vs GoSearch

GoSearch alternative

Cited, permission-aware answers across every app.

 vs Guru

Guru alternative

Live search across every app, not just a curated wiki.

 vs Coveo

Coveo alternative

Cited answers and an easy start, not a platform build.

 vs Microsoft Copilot

Microsoft Copilot alternative

Neutral search across every app, not just Microsoft 365.

 vs Amazon Kendra

Amazon Kendra alternative

Kendra is in maintenance mode. Here is where to land.

 vs Lucidworks

Lucidworks alternative

Workplace search without a Kubernetes cluster to run.

 vs Moveworks

Moveworks alternative

Now a ServiceNow product. Here is the independent option.

 vs Sinequa

Sinequa alternative

Built for the modern SaaS stack, not a two-year rollout.

 vs Atlassian Rovo

Atlassian Rovo alternative

For companies that are not only an Atlassian shop.

 vs Glean

Glean pricing

What Glean actually costs, and what to compare it against.

 vs Hebbia

Hebbia alternative

Company-wide cited search, not finance-desk document diligence.

 vs Onyx

Onyx alternative

The same cited, permission-aware answers, fully managed and no-ops.

 vs Bloomfire

Bloomfire alternative

Search where work already lives, instead of curating a knowledge base.
See every use case

Find any answer at work with InSearch

One search across all your company apps, a clear cited answer, scoped to exactly what each person can see, and never trained on your data.

See pricing

One search across every app · cited answers · permission-aware · never trains on your data