# CommonAR vs Dust

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

| Metric | [CommonAR](https://openaitools.app/tool/commonar) | [Dust](https://openaitools.app/tool/dust) |
| :--- | :--- | :--- |
| Website URL | https://commonar.com | https://dust.tt |
| Categories | AI Copilot, AI Face Recognition, AI Assistant | AI Assistant, Large Language Models (LLMs), AI Workflow, AI Knowledge Management |
| Pricing Model | Free | Contact for Pricing |
| Monthly Visits | 0 | 547,217 |
| MoM Growth Rate | — | +1.8% |
| Primary Market | Global | France |
| Direct Visits | 0 | 456,919 |
| Review Score | 3.8 | 4.4 |
| Saved Count | 0 | 5 |
| Supported Platforms | Website | Website |

## CommonAR

CommonAR targets a familiar problem: most people leave networking events feeling they met far fewer useful contacts than they hoped. The app asks attendees to build a lightweight profile with a bio, links to their socials and a selfie, then join an event through a shareable link, email invite or CSV import. Hosts can also pull guest lists straight from Luma with a Chrome extension, and recognition is kickstarted using attendees' LinkedIn profile photos.

Once inside an event, the camera becomes the interface. Flip it toward someone you have just met to log the encounter, or point it outwards to discover which attendees around you match your interests. The AI layer compares profile data and the event context supplied by the host to highlight common ground, so instead of defaulting to small talk you get a reason to walk up to someone specific and a topic to open with. Every scan is stored automatically, building a running record of who you met and when.

CommonAR is pitched as free for hosts, free for users and free for everybody while the team expands the product. An Android experience is on the roadmap, and Android attendees can already use the web app to respond to invites, browse events and sign up, though the AR scanning experience itself is iOS-only for now. CommonAR emphasizes encrypted, end-to-end data storage, granular privacy controls and an ad-free model with no selling of user data.

**Pricing & Plans:** CommonAR is currently free. The company states it is free for hosts, free for users and free for everybody, with plans to stay free as the offering expands.

- **Camera-based attendee discovery:** Flip the iPhone camera inward to pair with someone you just met, or outward to see which attendees around you are a good match.
- **AI compatibility and conversation starters:** The matching layer weighs profile data and the host's event context to reveal shared interests and suggest where a conversation could go.
- **Selfie-based profiles with linked socials:** Attendees add a bio, social links and a selfie so recognition works and others can quickly understand who they are.
- **Luma and CSV guest-list import:** Hosts can import Luma attendee lists with a Chrome extension, or bring guest data in via CSV from other event platforms.
- **Automatic contact memory:** Each scan is saved to your contacts so encounters at an event become a lasting, searchable record of who you met.

**Strengths:** Free for both hosts and attendees, with no ads and no data selling according to the company; Blends facial recognition, guest lists and AI matching rather than relying on QR codes or printed cards; Automatic contact capture means you keep a record of who you met and why it mattered; Privacy controls and end-to-end encryption are built into the product's framing

**Limitations:** The AR scanning experience is limited to iPhone; Android users only get a reduced web experience for now; Adoption depends on enough attendees at the same event joining for discovery to be useful; Facial recognition at events raises privacy expectations that some venues and attendees may push back on

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

## 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)

## Frequently Asked Questions

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

CommonAR has 0 monthly visits, while Dust has 547,217. Traffic estimates describe audience size, not product quality.

### How do their growth rates compare?

CommonAR has a month-over-month growth rate of —; Dust has +1.8%.

### How does pricing compare?

CommonAR: Free. CommonAR is currently free. The company states it is free for hosts, free for users and free for everybody, with plans to stay free as the offering expands. 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.

## 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 | [Jobright.ai](https://openaitools.app/tool/jobright-ai) | 6,706,088 | +3.8% | Free Trial | AI job search copilot that finds matched jobs, tailors your resume and autofills applications | [.md](https://openaitools.app/tool/jobright-ai.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 | [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 | [Final Round AI](https://openaitools.app/tool/final-round-ai) | 397,782 | +3.6% | Free Trial, Paid | AI interview copilot with real-time answers and automatic debriefs | [.md](https://openaitools.app/tool/final-round-ai.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 | [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) |
| 10 | [SocialFinder.ai](https://openaitools.app/tool/socialfinder-ai) | 250,665 | +47.7% | Paid | AI face search that turns one photo into someone's full digital footprint | [.md](https://openaitools.app/tool/socialfinder-ai.md) |

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

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