# Dust vs LabFig

Dust records 547,217 monthly visits with +1.8% month-over-month growth and Contact for Pricing pricing. LabFig records 4,976 monthly visits with +44.9% growth and Freemium pricing.

| Metric | [Dust](https://openaitools.app/tool/dust) | [LabFig](https://openaitools.app/tool/labfig) |
| :--- | :--- | :--- |
| Website URL | https://dust.tt | https://labfig.com |
| Categories | AI Assistant, Large Language Models (LLMs), AI Workflow, AI Knowledge Management | AI Image Generator, Image to Image, Text to Image |
| Pricing Model | Contact for Pricing | Freemium |
| Monthly Visits | 547,217 | 4,976 |
| MoM Growth Rate | +1.8% | +44.9% |
| Primary Market | France | United States |
| Direct Visits | 456,919 | 1,627 |
| 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)

## LabFig

LabFig targets a very specific pain point in academic work: producing clean, consistent scientific figures without a design background. Instead of learning vector software or paying a designer, researchers describe a figure in words, drop in a paper, upload a sketch, or take a photo of a whiteboard, and the tool returns a structured draft with panels, labels, and arrows laid out. It supports journal-oriented aesthetics, with styles modelled on Nature, Cell, or IEEE conventions so figures in the same manuscript look like a set.

What sets LabFig apart from generic image generators is the editing layer. Figures are vector-first: text, arrows, shapes, and colours remain editable after generation, and individual regions can be replaced or regenerated with a short prompt through a feature called Vector Canvas. Exports include SVG and PDF alongside PNG, which matters when a submission template expects resizable artwork. There is also a Figure Enhancer path for cleaning up an existing figure's colour and line weights.

The workbench runs in seven modes covering text, image, PDF, sketch, reference, photo, and enhancer inputs, with credits consumed per generation. Pricing is credit-based across Starter, Standard, and Premium tiers, and academic discounts are available for verified students and educators. LabFig is explicit that AI-generated drafts should be reviewed by a scientist before publication, which is a sensible framing for a tool aimed at manuscript work.

**Pricing & Plans:** Credit-based subscription plans: a Starter tier aimed at occasional figure work, a Standard tier for active PhD students and postdocs, and a Premium tier for high-throughput labs. Annual billing reduces the monthly rate, and verified students and educators receive a discount. Monthly list prices run roughly from about $29.9 to about $149.9 before discounts.

- **Six-plus input modes:** Generate from text descriptions, hand sketches, reference figures, research PDFs, or lab photos.
- **Vector Canvas editing:** Labels, arrows, shapes, and colours stay editable, and single regions can be regenerated with a prompt.
- **Journal-grade styles:** Match the visual conventions of Nature, Cell, or IEEE with one-click styles, or keep a consistent set across a paper.
- **Resizable vector export:** Export SVG and PDF for submissions plus 300 dpi PNG, so figures drop into templates without rework.
- **Figure Enhancer:** Improve the colour balance and line weights of a figure you already have instead of starting over.

**Strengths:** Works from the inputs researchers actually have, from PDFs and sketches to whiteboard photos; Figures stay vector-editable after generation, unlike one-shot image generators; Journal-oriented styles help keep every figure in a manuscript visually consistent; Academic discount available for verified students and educators

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

## Frequently Asked Questions

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

Dust has 547,217 monthly visits, while LabFig has 4,976. 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%; LabFig has +44.9%.

### 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. LabFig: Freemium. Credit-based subscription plans: a Starter tier aimed at occasional figure work, a Standard tier for active PhD students and postdocs, and a Premium tier for high-throughput labs. Annual billing reduces the monthly rate, and verified students and educators receive a discount. Monthly list prices run roughly from about $29.9 to about $149.9 before discounts.

## 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 | [Rendair AI](https://openaitools.app/tool/rendair-ai-platform) | 496,201 | +5.7% | Contact for Pricing | The AI workspace that turns architectural sketches and 3D models into client-ready visuals | [.md](https://openaitools.app/tool/rendair-ai-platform.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 | [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) |
| 9 | [ConceptViz](https://openaitools.app/tool/conceptviz) | 157,061 | +28.1% | Freemium, Paid | Editable scientific figures and graphical abstracts from a prompt | [.md](https://openaitools.app/tool/conceptviz.md) |
| 10 | [SciDraw AI](https://openaitools.app/tool/scidraw-ai) | 146,452 | +10.1% | Freemium | AI scientific figure and data chart generator for researchers | [.md](https://openaitools.app/tool/scidraw-ai.md) |

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

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