# Dust vs Matterbase

Dust records 547,217 monthly visits with +1.8% month-over-month growth and Contact for Pricing pricing. Matterbase records 4,450 monthly visits with -3.4% growth and Freemium, Free Trial, Contact for Pricing pricing.

| Metric | [Dust](https://openaitools.app/tool/dust) | [Matterbase](https://openaitools.app/tool/matterbase) |
| :--- | :--- | :--- |
| Website URL | https://dust.tt | https://www.matterbase.com |
| Categories | AI Assistant, Large Language Models (LLMs), AI Workflow, AI Knowledge Management | AI Interior Design, AI Design Assistant, AI Search Engine, AI Agent |
| Pricing Model | Contact for Pricing | Freemium, Free Trial, Contact for Pricing |
| Monthly Visits | 547,217 | 4,450 |
| MoM Growth Rate | +1.8% | -3.4% |
| Primary Market | France | United States |
| Direct Visits | 456,919 | 1,748 |
| Review Score | 4.4 | 4.2 |
| 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)

## Matterbase

Matterbase starts from search rather than a product grid. You type something like "living room with oak floors" and the platform surfaces real interiors plus the individual products credited in those photos — sofas, tiles, lighting, hardware — with attribution to the designer and photographer who created the image. Products link back to the brands and suppliers that make them, which is what makes the results specifiable rather than just inspirational.

From there the workflow stays inside one tool. You drag products and materials into a material board, share it with a team or client for comments, and convert the board into a schedule that can be priced. Markup and rendering tools let you lasso an area of a rendering and change finishes, or shift the light from day to night. Studio libraries keep a shared product catalogue, supplier contacts, and permissions across a practice, and a clipper extension lets you pull products in from any brand's website.

Matterbase also exposes its catalogue to AI agents over MCP, so an external assistant can search products and Spaces on your behalf. Plans combine a free entry tier with credit-based usage and studio plans quoted through a demo. It is aimed at interior designers, architects, and design-led studios rather than consumers decorating a single room.

**Pricing & Plans:** A free tier to get started, credit-based plans that cover heavier search and board usage, and studio or team plans arranged through a demo. Exact figures are not stated here, so check the pricing page before committing.

- **Plain-language search over real projects:** Search by room type, colour, or a natural-language prompt to find interiors and the individual products credited inside them, with photographer and designer attribution.
- **Material boards:** Drag-and-drop boards for products, finishes, and materials that you can share with clients and teammates for comments and approval.
- **FF&E schedules:** Turn a board into a real-time schedule your studio can price, with product data carried over instead of retyped into spreadsheets.
- **Rendering edits:** Lasso or pin a region of a rendering to swap finishes and adjust lighting, from day to night, without leaving the platform.
- **Supplier connections and MCP access:** Request samples and quotes from the brands behind each product, and connect your own AI agent to search the catalogue over MCP.

**Strengths:** Search returns specifiable products with credits back to designer and photographer; Boards and schedules are connected, so approved selections flow straight into documentation; Studio libraries and permissions make it usable across a whole practice, not just one person; MCP support lets external AI agents search the catalogue directly

**Limitations:** Credit-based pricing can be hard to forecast for heavy search users; Studio-level pricing requires a demo conversation; Strongest for interiors and FF&E work, so it offers less for unrelated design disciplines

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

## Frequently Asked Questions

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

Dust has 547,217 monthly visits, while Matterbase has 4,450. 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%; Matterbase has -3.4%.

### 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. Matterbase: Freemium, Free Trial, Contact for Pricing. A free tier to get started, credit-based plans that cover heavier search and board usage, and studio or team plans arranged through a demo. Exact figures are not stated here, so check the pricing page before committing.

## 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 | [Floor Plan AI](https://openaitools.app/tool/floor-plan-ai) | 325,307 | +3.1% | Free | Generate, edit and visualize floor plans in your browser | [.md](https://openaitools.app/tool/floor-plan-ai.md) |
| 8 | [mnml.ai](https://openaitools.app/tool/mnml-ai) | 292,719 | -8.6% | Freemium | AI rendering studio that turns sketches, photos and SketchUp, Revit or Rhino views into client-ready architectural images | [.md](https://openaitools.app/tool/mnml-ai.md) |
| 9 | [Home Design AI](https://openaitools.app/tool/home-design-ai) | 286,523 | -3.3% | Free | AI interior design, floor plans and 3D models for every home project | [.md](https://openaitools.app/tool/home-design-ai.md) |
| 10 | [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) |

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

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