# Dust vs Immuta

Dust records 547,217 monthly visits with +1.8% month-over-month growth and Contact for Pricing pricing. Immuta records 24,384 monthly visits with -65.7% growth and Contact for Pricing pricing.

| Metric | [Dust](https://openaitools.app/tool/dust) | [Immuta](https://openaitools.app/tool/immuta) |
| :--- | :--- | :--- |
| Website URL | https://dust.tt | https://www.immuta.com |
| Categories | AI Assistant, Large Language Models (LLMs), AI Workflow, AI Knowledge Management | AI For Data Analytics, AI Productivity Tools, AI For Finance, AI Healthcare |
| Pricing Model | Contact for Pricing | Contact for Pricing |
| Monthly Visits | 547,217 | 24,384 |
| MoM Growth Rate | +1.8% | -65.7% |
| Primary Market | France | United States |
| Direct Visits | 456,919 | 8,319 |
| Review Score | 4.4 | 4.4 |
| Saved Count | 5 | 0 |
| Supported Platforms | Website | Website |

## Dust

Dust positions itself as 'multiplayer AI' for human-agent collaboration. Rather than giving each employee a private chatbot, it lets teams build agents that have shared access to company knowledge, connected tools, conversations and notifications, so work can move back and forth between people and AI. Agents can be reused across departments, and human review stays part of the loop where it matters.

The platform's differentiator is context. According to Dust, most AI tools can retrieve a single Slack message or CRM record, whereas its agents pull context together across Slack, CRM, documents and other company systems to answer with the full picture and then act on it. Over 70 connectors cover messaging, calendars, CRM, file storage, project management, data and finance tools, and agents can reach MCP servers through the same gateway.

Governance is a first-class feature. Dust offers a dual-layer permission model that separates what agents can access from who can use them, SCIM-synced groups, admin-gated overrides, audit logs and analytics for monitoring adoption, usage, cost and ROI. It is SOC 2 Type II certified, offers US or EU data residency and supports single-tenant deployment. Teams can build agents with 20+ frontier and open-source models from OpenAI, Anthropic, Google, Mistral and others, choosing the right model per workflow. The company says more than 3,000 organizations and 300,000+ agents run on the platform.

**Pricing & Plans:** Contact for pricing. Dust offers a free trial after signup, but its plans are oriented toward teams and enterprises with usage-based credits, volume pricing and dedicated support; you need to talk to sales for exact figures.

- **Agents with company context:** Connect 70+ tools including Slack, Notion, Google Drive, GitHub, Salesforce and Zendesk so agents answer with real company knowledge instead of generic guesses.
- **70+ connectors and MCP support:** Reach messaging, CRM, docs, project management, data, finance and MCP servers through one platform, so agents can act across systems rather than just chat.
- **Model flexibility:** Build agents with 20+ frontier and open-source models from OpenAI, Anthropic, Google and Mistral, and pick the best model for each task.
- **AI-native governance:** A dual-layer permission model, SCIM-synced groups, admin-gated overrides, audit logs and usage analytics keep company data locked down while teams move fast.
- **Multiplayer collaboration:** People and agents share context, tools and notifications, so cross-functional workflows run with reusable skills and human review built in.

**Strengths:** Deep context gathering across 70+ enterprise connectors; Strong enterprise governance with permissions, audit logs and SOC 2 Type II; Model-agnostic: choose among 20+ frontier and open-source models; Shared, reusable agents that scale across departments

**Limitations:** Pricing is sales-led, so costs are hard to estimate before a demo; Setting up connectors and permissions takes real admin work; Best value comes with broad rollout, which is a heavier commitment for small teams

[Profile (Markdown)](https://openaitools.app/tool/dust.md)

## Immuta

Immuta is an authorization layer that sits between the people and AI agents asking for data and the systems that hold it. Instead of approving access system by system, organizations define a single set of rules that the Immuta policy engine evaluates on every request — returning allow, mask, filter, deny or escalate in under a second. Policies are authored once in plain language and enforced natively inside warehouses, lakehouses, databases, cloud storage, APIs and SaaS applications, so nothing has to be copied and no per-system code has to be maintained.

The problem Immuta addresses is that data access has changed shape. People no longer search for a table and request it; they ask an AI assistant a question, and that assistant may request every table the task might touch. That shift moves request volume from a few per week to thousands per hour, and it turns the question itself into a risk, because an agent does not know which columns are sensitive. Immuta's Agentic Data Access gives humans and agents just-in-time, scoped permissions, records a purpose for each request, and masks sensitive columns such as personal data unless a legitimate exception applies.

The platform is organized into four modules on one engine — policy authoring and enforcement, request workflows and exceptions, agentic data access, and agentic compliance — and customers can adopt one and add the rest. The vendor's customers include banks, pharmaceutical companies, insurers and government agencies that need enforceable, auditable data governance. Because deployments are enterprise-scale and integration-heavy, Immuta is sold through a demo and scoping process rather than self-serve checkout.

**Pricing & Plans:** Contact for pricing. Immuta is sold as an enterprise platform (policy authoring, request workflows, agentic data access and compliance) with pricing quoted after a demo; no public list price.

- **Global policy authoring:** Define access rules in plain language, and Immuta compiles them into native controls inside your data infrastructure.
- **Sub-second decisioning:** The policy engine returns allow, mask, filter, deny or escalate for every request in under a second, at enterprise scale.
- **Request workflows and exceptions:** Route genuine exceptions to data owners with the purpose attached, while routine access resolves on its own.
- **Agentic Data Access:** Give humans and AI agents just-in-time, scoped permissions so assistants only reach the data their task needs.
- **Unified audit and compliance:** Audit, triage and prove compliance across every actor and data system from a unified record of decisions.

**Strengths:** One policy engine enforces access across warehouses, databases, storage, APIs and SaaS; Sub-second decisions keep AI agents and analysts unblocked; Strong audit trail for privacy and regulatory proof; Purpose-aware exception handling keeps humans in charge of genuine edge cases

**Limitations:** Pricing requires a demo and internal packaging decisions; Implementation is enterprise-scale, not a quick self-serve setup; Value comes mainly from organizations with many data systems and strict governance needs

[Profile (Markdown)](https://openaitools.app/tool/immuta.md)

## Frequently Asked Questions

### How do Dust and Immuta compare in monthly traffic?

Dust has 547,217 monthly visits, while Immuta has 24,384. Traffic estimates describe audience size, not product quality.

### How do their growth rates compare?

Dust has a month-over-month growth rate of +1.8%; Immuta has -65.7%.

### How does pricing compare?

Dust: Contact for Pricing. Contact for pricing. Dust offers a free trial after signup, but its plans are oriented toward teams and enterprises with usage-based credits, volume pricing and dedicated support; you need to talk to sales for exact figures. Immuta: Contact for Pricing. Contact for pricing. Immuta is sold as an enterprise platform (policy authoring, request workflows, agentic data access and compliance) with pricing quoted after a demo; no public list price.

## Alternatives

| # | Tool Name | Monthly Visits | MoM Growth Rate | Pricing Model | Summary | Profile (Markdown) |
| :--- | :--- | :--- | :--- | :--- | :--- | :--- |
| 1 | [Notion](https://openaitools.app/tool/t) | 173,441,670 | +0.1% | Freemium | Provides a unified connected workspace for team documents and databases, but lacks Dust's advanced multi-source enterprise knowledge indexing. | [.md](https://openaitools.app/tool/t.md) |
| 2 | [Salesforce Agentforce (formerly Einstein)](https://openaitools.app/tool/salesforce-einstein) | 111,910,743 | +2.2% | Freemium | Integrates deeply with CRM ecosystems to automate enterprise workflows, but is tightly bound to the Salesforce software suite. | [.md](https://openaitools.app/tool/salesforce-einstein.md) |
| 3 | [Glean](https://openaitools.app/tool/glean) | 3,301,875 | +0.1% | Contact for Pricing | Offers robust enterprise-wide permission-aware search and knowledge management, but with less focus on custom multi-model agent workflows. | [.md](https://openaitools.app/tool/glean.md) |
| 4 | [Abacus.AI](https://openaitools.app/tool/abacus-ai) | 3,278,636 | -1.7% | Contact for Pricing | Combines multi-model chat assistants and automated machine learning optimization, but with a heavier focus on data science pipelines. | [.md](https://openaitools.app/tool/abacus-ai.md) |
| 5 | [Taskade](https://openaitools.app/tool/taskade) | 539,714 | -9.4% | Freemium | Turn one prompt into live business apps, AI agents and automated workflows | [.md](https://openaitools.app/tool/taskade.md) |
| 6 | [Gumloop](https://openaitools.app/tool/gumloop) | 379,557 | -21.1% | Freemium, Paid, Contact for Pricing | Excels at visual no-code web scraping and data automation pipelines, but lacks Dust's dedicated internal knowledge base architecture. | [.md](https://openaitools.app/tool/gumloop.md) |
| 7 | [Tines](https://openaitools.app/tool/tines) | 273,260 | +24.4% | Freemium, Contact for Pricing | Focuses on secure enterprise workflow automation and security orchestration, but requires more manual setup for custom AI agents. | [.md](https://openaitools.app/tool/tines.md) |
| 8 | [Kore.ai](https://openaitools.app/tool/kore-ai) | 143,328 | -18.2% | Contact for Pricing | Delivers enterprise-grade conversational AI and workflow automation, but focuses more heavily on customer service and enterprise contact centers. | [.md](https://openaitools.app/tool/kore-ai.md) |
| 9 | [Sim AI](https://openaitools.app/tool/sim-ai) | 140,953 | +20.6% | Freemium, Paid (per user/month), and Enterprise with custom pricing; self-hosting free under Apache 2.0 | Open-source workspace to build, deploy and govern AI agents | [.md](https://openaitools.app/tool/sim-ai.md) |
| 10 | [Agno](https://openaitools.app/tool/agno) | 140,302 | -3.3% | Contact for Pricing, Free | Self-driving agent platform you run in your own cloud | [.md](https://openaitools.app/tool/agno.md) |

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Source: https://openaitools.app/compare/dust-vs-immuta

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