# Dust vs Modor

Dust records 547,217 monthly visits with +1.8% month-over-month growth and Contact for Pricing pricing. Modor records 20,283 monthly visits with -30.5% growth and Freemium pricing.

| Metric | [Dust](https://openaitools.app/tool/dust) | [Modor](https://openaitools.app/tool/modor) |
| :--- | :--- | :--- |
| Website URL | https://dust.tt | https://modor.io |
| Categories | AI Assistant, Large Language Models (LLMs), AI Workflow, AI Knowledge Management | AI Mockup Generator |
| Pricing Model | Contact for Pricing | Freemium |
| Monthly Visits | 547,217 | 20,283 |
| MoM Growth Rate | +1.8% | -30.5% |
| Primary Market | France | United States |
| Direct Visits | 456,919 | 8,494 |
| 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)

## Modor

Modor is a web-based mockup studio aimed at designers, print-on-demand sellers and small e-commerce brands who need polished product visuals without opening Photoshop. The core flow is deliberately simple: pick a template from a library of thousands of mockups covering t-shirts, hoodies, mugs, tote bags, posters, billboards, phones, laptops and tablets, upload or drop in your artwork, then let the tool handle smart object placement, auto-scaling and lighting so the result looks like a real photograph rather than a pasted-on graphic.

The AI-assisted layer handles the fiddly parts that normally eat time: matching perspective, softening shadows, adjusting background and colour, and re-sizing exports for Instagram, Facebook and other channels. Finished mockups can be downloaded in PNG, JPEG or PDF at high resolution, and the team states that free exports carry no watermark.

Because the templates cover both physical products and print collateral, Modor works for shop listings, client presentations, social media posts and advertising concepts. A free tier anchors the product, and some premium templates sit behind a paid plan.

**Pricing & Plans:** Modor offers a free plan covering a broad template library with no watermark on exports. Some premium templates require a subscription; exact paid pricing is shown on the site's pricing page.

- **10,000+ mockup templates:** A large catalog spanning apparel, accessories, tech devices, packaging, stationery and print formats such as posters and billboards.
- **AI-assisted placement and lighting:** Smart object placement, auto-scaling, shadow and lighting adjustment make your artwork sit naturally inside the scene.
- **Drag-and-drop editor:** Upload a design, position it, tweak colours and backgrounds, and download — no advanced editing knowledge required.
- **HD, watermark-free exports:** Export high-resolution PNG, JPEG or PDF files, with no watermark applied on the free plan according to the site.
- **Social-ready resizing:** Auto-format mockups for Instagram, Facebook and other channels so the same design works across platforms.

**Strengths:** Broad template library covering both products and print formats; Free tier with high-resolution exports and reportedly no watermark; No Photoshop skills needed — drag-and-drop workflow; AI assistance for placement, shadows and lighting saves editing time

**Limitations:** Best premium templates sit behind a paid subscription; Output quality depends on template realism for very unusual product shapes; Web-only workflow, so no offline or plugin-based editing

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

## Frequently Asked Questions

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

Dust has 547,217 monthly visits, while Modor has 20,283. 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%; Modor has -30.5%.

### 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. Modor: Freemium. Modor offers a free plan covering a broad template library with no watermark on exports. Some premium templates require a subscription; exact paid pricing is shown on the site's pricing page.

## 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 | [Kittl AI](https://openaitools.app/tool/kittl-ai) | 1,956,722 | -7.2% | Freemium | Generate images, vectors, logos, and mockups with leading AI models in one editor | [.md](https://openaitools.app/tool/kittl-ai.md) |
| 6 | [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) |
| 7 | [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) |
| 8 | [Mockey AI](https://openaitools.app/tool/mockey-ai) | 334,362 | -5% | Freemium | Create product mockups from 30,000+ templates, free and watermark-free | [.md](https://openaitools.app/tool/mockey-ai.md) |
| 9 | [LS Graphics](https://openaitools.app/tool/ls-graphics) | 301,698 | -10.2% | Freemium | A vast library of high-end Photoshop and Figma mockups | [.md](https://openaitools.app/tool/ls-graphics.md) |
| 10 | [Uizard](https://openaitools.app/tool/uizard) | 294,618 | -15% | Freemium | AI-powered UI design and prototyping for product teams | [.md](https://openaitools.app/tool/uizard.md) |

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

More Markdown: [Categories](https://openaitools.app/categories.md) · [Traffic rankings](https://openaitools.app/rankings.md) · [llms.txt](https://openaitools.app/llms.txt)
