# Dust vs Foxiest

Dust records 547,217 monthly visits with +1.8% month-over-month growth and Contact for Pricing pricing. Foxiest records 0 monthly visits with 0% growth and Free Trial pricing.

| Metric | [Dust](https://openaitools.app/tool/dust) | [Foxiest](https://openaitools.app/tool/foxiest) |
| :--- | :--- | :--- |
| Website URL | https://dust.tt | https://befoxiest.com |
| Categories | AI Assistant, Large Language Models (LLMs), AI Workflow, AI Knowledge Management | AI UX Design, AI Design Assistant, AI Testing |
| Pricing Model | Contact for Pricing | Free Trial |
| Monthly Visits | 547,217 | 0 |
| MoM Growth Rate | +1.8% | 0% |
| Primary Market | France | Global |
| Direct Visits | 456,919 | 0 |
| Review Score | 4.4 | 4.3 |
| 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)

## Foxiest

Foxiest exists to fix a problem most product teams recognise: UX issues get caught too late. Missing edge cases, broken flows, and small design mistakes only become visible once engineering has already started, and by then the fixes are expensive. Foxiest acts as an AI-powered UX reviewer for Figma, examining interfaces and multi-step flows to flag risks while the design is still cheap to change.

The tool focuses on the states and scenarios teams forget. It looks for edge cases, usability problems, accessibility barriers, and missing states such as empty, loading, or error conditions. Beyond single screens, it supports multi-flow analysis, so the review spans how a user actually moves through a product rather than judging isolated frames. It also understands design systems, which helps it reason about component usage and consistency.

Foxiest is aimed at product design teams that want review to be part of the normal workflow rather than a separate meeting. It is built for collaboration, so findings can be shared across designers, engineers, and stakeholders during handoff. The product is positioned as a pre-development and handoff review layer: no manual audit meetings required, just actionable feedback delivered where the team already works.

**Pricing & Plans:** Foxiest offers a free trial and a free entry point ('Try for Free Now'), with paid tiers for ongoing team use. Exact plan pricing is available on the site after sign-up.

- **Automated UX edge case detection:** Scans designs for the edge cases product teams typically overlook, before they turn into engineering rework.
- **Accessibility and usability checks:** Identifies usability problems and accessibility issues within interfaces, helping teams ship more inclusive products.
- **Missing state detection:** Flags states teams often forget, such as empty, loading, and error conditions, so flows are complete before build.
- **Multi-flow and design system analysis:** Reviews how users move across connected screens and reasons about design system usage rather than judging frames in isolation.
- **Collaborative, actionable feedback:** Delivers recommendations that can be shared across design, engineering, and stakeholders during handoff.

**Strengths:** Catches UX problems while fixes are still cheap, before development; Goes beyond single screens with multi-flow and design system awareness; Feedback is actionable and shareable with the wider product team; Free trial and a free entry point reduce the cost of trying it

**Limitations:** Value depends on teams using Figma as their design source of truth; Automated reviews still need human judgement to prioritise findings; Pricing for larger teams requires contacting the vendor

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

## Frequently Asked Questions

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

Dust has 547,217 monthly visits, while Foxiest has 0. 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%; Foxiest has 0%.

### 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. Foxiest: Free Trial. Foxiest offers a free trial and a free entry point ('Try for Free Now'), with paid tiers for ongoing team use. Exact plan pricing is available on the site after sign-up.

## 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 | [Refero Design](https://openaitools.app/tool/refero-design) | 1,147,552 | +3.4% | Freemium | A searchable library of 145,000+ real web and iOS screens for UI/UX inspiration. | [.md](https://openaitools.app/tool/refero-design.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 | [UX Pilot](https://openaitools.app/tool/ux-pilot) | 537,999 | +2.9% | Freemium | From idea or sketch to editable wireframes, hi-fi UI and code in minutes | [.md](https://openaitools.app/tool/ux-pilot.md) |
| 8 | [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) |
| 9 | [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) |
| 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-foxiest

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