# Dust vs Stitch

Dust records 547,217 monthly visits with +1.8% month-over-month growth and Contact for Pricing pricing. Stitch records 4,725,324 monthly visits with -13.9% growth and Freemium pricing.

| Metric | [Dust](https://openaitools.app/tool/dust) | [Stitch](https://openaitools.app/tool/stitch) |
| :--- | :--- | :--- |
| Website URL | https://dust.tt | https://stitch.withgoogle.com |
| Categories | AI Assistant, Large Language Models (LLMs), AI Workflow, AI Knowledge Management | AI Design Generator, AI UX Design, AI Code Generator, AI App Builder |
| Pricing Model | Contact for Pricing | Freemium |
| Monthly Visits | 547,217 | 4,725,324 |
| MoM Growth Rate | +1.8% | -13.9% |
| Primary Market | France | India |
| Direct Visits | 456,919 | 2,400,330 |
| Review Score | 4.4 | 4.4 |
| Saved Count | 5 | 3 |
| 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)

## Stitch

Stitch is Google's AI design experiment aimed at the front end of product work: turning an idea into a plausible interface fast. You describe the screen or app you have in mind, or supply a reference image or sketch, and Stitch generates multiple design variations. That makes it useful for early ideation when you want to see several directions before committing to one.

From there the workflow is conversational. You refine a chosen direction with follow-up prompts, adjusting layout, components, colors and theme, and Stitch re-renders the design. Because generation is quick, it works well for exploring mobile and web layouts side by side, or for quickly visualising an app concept during a meeting or spec discussion.

Stitch is built and operated by Google and sits alongside Google's other AI design experiments. Its strongest use is early-stage design ideation and rapid prototyping of interfaces rather than pixel-perfect production design. Availability, quotas and export options are set by Google and may change or be limited to certain regions or accounts.

**Pricing & Plans:** Freemium. Stitch is offered by Google with a free tier and usage limits; availability and quota details may vary by region or account. Check the official site for current access conditions.

- **Prompt to UI generation:** Describe an app screen in natural language and Stitch produces multiple complete UI designs, including mobile and web layouts.
- **Image and sketch input:** Upload a sketch, screenshot or existing screen and Stitch produces a matching design interpretation.
- **Fast iterative refinement:** Iterate with follow-up prompts to change layout, color themes and components without starting over.
- **Design-to-code handoff:** Move generated designs toward implementation with export options suited to design and development handoff.
- **Theme and style exploration:** Experiment with different themes and styles to explore multiple directions early in a project.

**Strengths:** Very fast way to visualise an app idea as a real interface; Generates multiple design variations at once for comparison; Supports both text prompts and image or sketch input; Backed by Google and integrates with design and dev handoff workflows

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

## Frequently Asked Questions

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

Dust has 547,217 monthly visits, while Stitch has 4,725,324. 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%; Stitch has -13.9%.

### 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. Stitch: Freemium. Freemium. Stitch is offered by Google with a free tier and usage limits; availability and quota details may vary by region or account. Check the official site for current access conditions.

## 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 | [Lovable](https://openaitools.app/tool/lovable) | 31,052,090 | +3.8% | Freemium | Builds full-stack web applications from natural language, moving further into functional app development than standard UI design tools. | [.md](https://openaitools.app/tool/lovable.md) |
| 4 | [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) |
| 5 | [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) |
| 6 | [v0 by Vercel](https://openaitools.app/tool/v0-dev-by-vercel-labs) | 2,774,275 | -14.3% | Freemium | Produces high-quality frontend code directly from text prompts, but acts more as a developer tool than a pure designer. | [.md](https://openaitools.app/tool/v0-dev-by-vercel-labs.md) |
| 7 | [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) |
| 8 | [UX Pilot](https://openaitools.app/tool/ux-pilot) | 537,999 | +2.9% | Freemium | Generates editable wireframes and mockups similarly, but offers tighter integration with design systems and Figma. | [.md](https://openaitools.app/tool/ux-pilot.md) |
| 9 | [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) |
| 10 | [Uizard](https://openaitools.app/tool/uizard) | 294,618 | -15% | Freemium | Converts sketches and text prompts into wireframes, but focuses more on rapid prototyping than production code generation. | [.md](https://openaitools.app/tool/uizard.md) |

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

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