Dust vs Glean

Dust and Glean both let organizations build AI agents connected to company knowledge, but they sit at different points on the self-serve-to-enterprise…

Best for Dust: Teams wanting a non-technical agent builder that connects to common tools like Slack, Notion, and Drive, with flexibility to run on multiple LLMs via MCP, without necessarily going through an enterprise sales process.
Best for Glean: Large enterprises needing permission-aware search across many named systems (Jira, Confluence, SharePoint, Salesforce, GitHub), extensive compliance certifications (HIPAA, ISO 42001), and support for 35+ LLMs.

At a Glance

 DustGlean
Primary categoryAIAI
RatingNot documentedNot documented
Pricing modelFreemiumUsage-based
Starting priceFree (500 credits/month); paid plans from $30/monthContact for pricing (est. $45-50/user/month + AI add-on, 100-user minimum)
Free planYesNot documented
Free trialNot documentedNot documented
PlatformsWebWeb
Team collaborationNot documentedNot documented
AI featuresYesYes
Public APIYesYes

Key Differences

Pricing Model & Transparency

Dust: Listed as Freemium, implying some self-serve tier, though detailed self-serve pricing tiers could not be independently confirmed from the official site.

Glean: Custom/Enterprise only, requiring a sales demo for any quote with no published pricing.

The ability to self-serve or try before buying differs significantly.

Compliance Certifications

Dust: Enterprise controls documented as SSO, SCIM, SOC 2, and an optional zero data retention mode.

Glean: Holds SOC 2 Type II, ISO 27001, ISO 42001, HIPAA, and GDPR compliance.

Regulated industries like healthcare and finance require specific certifications such as HIPAA that not all vendors carry.

Enterprise System Integrations

Dust: Knowledge connectors to Slack, Notion, and Google Drive, plus native integrations like Zendesk and a Chrome extension.

Glean: Integrates with a named list of enterprise systems: Slack, Google Drive, Jira, Confluence, SharePoint, GitHub, and Salesforce.

The specific systems a company already uses may determine which platform can actually plug into its existing knowledge base.

Multi-LLM Breadth

Dust: Supports multiple leading models such as GPT and Claude, without a specific count documented.

Glean: Supports 35+ different LLMs.

Broader model choice can matter for cost optimization or capability requirements across use cases.

Company Transparency

Dust: No founding year or headquarters is documented in the available facts.

Glean: Founded in 2019, headquartered in Palo Alto, CA, USA.

Company background can factor into vendor trust and due diligence for enterprise buyers.

Feature-by-Feature

Agent Building & Knowledge

FeatureDustGlean
No-code agent builderAvailableAvailable
Knowledge connectors (Slack/Drive/etc.)AvailableAvailable
MCP tool supportAvailableNot documented
Permission-aware searchNot documentedAvailable
Workflow automationNot documentedAvailable
Multi-model supportAvailableAvailable

Enterprise Security & Compliance

FeatureDustGlean
SSO / SCIMAvailableNot documented
SOC 2AvailableAvailable
HIPAA / GDPR / ISO 42001UnavailableAvailable
Zero data retention modeAvailableNot documented

Pricing & Company Info

FeatureDustGlean
Public/self-serve pricingNot documentedUnavailable
Pricing modelAvailableAvailable
Founding year/HQ publishedUnavailableAvailable

Pricing Compared

Starting price reflects the lowest paid tier, not the full cost for every team size or usage level.

Dust

Free — $0/month Monthly
Pro — $30/month ($24/month billed yearly) Monthly or annual
Max — $150/month ($120/month billed yearly) Monthly or annual
Enterprise — Custom quote Annual contract

Glean

Enterprise — Custom quote (est. $45-50/user/month base) Annual, typical 100-user minimum
Enterprise + AI Add-on — Custom quote (+ est. $15/user/month) Annual

Pros & Cons

Dust

Pros

  • Extensive pre-built connector library covering 100+ business tools
  • No-code builder accessible to non-technical business users
  • Model-agnostic design avoids single AI-vendor lock-in
  • Strong compliance posture with SOC 2 Type II and EU/US regional hosting

Cons

  • Credit-metered pricing introduced in 2026 adds complexity versus flat seat pricing
  • Enterprise-grade features require a custom-quoted plan
  • Younger company, founded in 2022, than some enterprise AI rivals
  • Feature depth may exceed what very small teams need

Glean

Pros

  • Deep, permission-aware connector library covering 100+ enterprise applications
  • Founding team's background at Google Search and Rubrik brings strong technical credibility
  • Rapid growth to roughly 200 million dollars in annual recurring revenue reflects strong market validation
  • Glean Apps and APIs extend the platform beyond search into a full enterprise AI agent builder
  • Well-capitalized with roughly 765 million dollars raised, supporting continued R&D investment

Cons

  • Pricing is not transparent and typically requires enterprise sales engagement
  • Total cost of ownership can run into the hundreds of thousands of dollars annually for larger deployments
  • Typical 100-seat minimum puts it out of reach for small and mid-size businesses
  • Faces direct competition from Microsoft Copilot, which has natural distribution advantages inside Microsoft 365 shops
  • Implementation and integration complexity can add significant upfront cost and time

Use Cases

Choose Dust: Teams wanting a non-technical agent builder that connects to common tools like Slack, Notion, and Drive, with flexibility to run on multiple LLMs via MCP, without necessarily going through an enterprise sales process.
Choose Glean: Large enterprises needing permission-aware search across many named systems (Jira, Confluence, SharePoint, Salesforce, GitHub), extensive compliance certifications (HIPAA, ISO 42001), and support for 35+ LLMs.
Need both: An organization piloting lightweight, team-level agents in Dust while separately running a company-wide, compliance-heavy knowledge search and automation layer in Glean could reasonably use both for different scopes of work.

Dust

  • Customer support triage agent — Support teams deploy an agent grounded in Zendesk and Notion knowledge bases to triage and resolve tickets faster.
  • Sales research and account-prep assistant — Sales teams use agents connected to Salesforce and HubSpot to prepare account research before calls.
  • Internal knowledge search agent — Operations and knowledge workers query an agent connected to Slack, Notion, and Google Drive to find internal information quickly.

Glean

  • Enterprise knowledge search — Employees use Glean to search across dozens of disconnected workplace tools from a single interface and get relevant, permission-respecting results.
  • AI-assisted answers grounded in company data — Teams use Glean Assistant to get natural-language answers synthesized from internal documents, wikis, and tickets instead of manually searching multiple systems.
  • Custom AI agent development — Enterprises use Glean Apps and APIs to build custom AI agents that securely leverage the company's permissioned knowledge index.

Frequently Asked Questions

Is pricing public for Dust or Glean?

Neither publishes full self-serve pricing. Dust's pricing model is listed as Freemium, but detailed self-serve tiers could not be confirmed from the official site. Glean requires a sales demo for a custom quote and has no published pricing.

Which platform supports more LLMs?

Glean states it supports 35+ unique LLMs. Dust supports multiple leading models, including GPT and Claude, without a specific count documented.

Which tool offers permission-aware search?

Glean explicitly provides permission-aware search that preserves each user's existing access controls. This isn't documented as a Dust feature.

What compliance certifications does each hold?

Glean holds SOC 2 Type II, ISO 27001, ISO 42001, HIPAA, and GDPR compliance. Dust's enterprise controls include SSO, SCIM, SOC 2, and an optional zero data retention mode.

What company background is available for each?

Glean was founded in 2019 and is headquartered in Palo Alto, CA. No founding year or headquarters is published for Dust in the available facts.

Read the full Dust review · Read the full Glean review