# Dust vs FacePlugin

Dust records 547,217 monthly visits with +1.8% month-over-month growth and Contact for Pricing pricing. FacePlugin records 1,840 monthly visits with -33.6% growth and Contact for Pricing pricing.

| Metric | [Dust](https://openaitools.app/tool/dust) | [FacePlugin](https://openaitools.app/tool/faceplugin) |
| :--- | :--- | :--- |
| Website URL | https://dust.tt | https://faceplugin.com |
| Categories | AI Assistant, Large Language Models (LLMs), AI Workflow, AI Knowledge Management | AI Face Recognition, AI Document Extraction, AI Image Segmentation |
| Pricing Model | Contact for Pricing | Contact for Pricing |
| Monthly Visits | 547,217 | 1,840 |
| MoM Growth Rate | +1.8% | -33.6% |
| Primary Market | France | Indonesia |
| Direct Visits | 456,919 | 718 |
| Review Score | 4.4 | 4.3 |
| Saved Count | 5 | 132 |
| 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)

## FacePlugin

FacePlugin targets organizations that need strong identity assurance but cannot or will not send biometric data to a third-party cloud. Instead of a metered verification API, it licenses SDKs that run on your own hardware: the server SDKs deploy on Linux with Docker and are air-gapped and VPC-friendly, while mobile SDKs for iOS, Android, Flutter, and React Native run face matching and document capture on-device, even offline. Because processing is local, biometric templates never leave your environment and there are no per-call charges.

The product lineup is modular. Face Recognition handles 1:1 verification and 1:N identification. Face Liveness Detection catches spoofing with printed photos, replayed video, and masks using passive and active checks. Deepfake Detection flags AI-generated or manipulated media before it reaches your systems. ID Document Recognition performs OCR and MRZ parsing on passports, driver's licenses, and ID cards, and ID Liveness confirms a document is physically genuine. The ID Verification SDK Suite ties capture, facial comparison, and liveness into a single eKYC workflow.

FacePlugin positions accuracy as independently validated, citing NIST FRVT benchmarking and iBeta Level 2 presentation attack detection certification. It markets to banking and financial services, healthcare, government, telecom, retail, and iGaming, with named use cases such as customer onboarding and eKYC, age verification, fraud and deepfake prevention, biometric access control, remote workforce verification, and account recovery with step-up authentication. Developer resources include documentation and blog content, and pricing is arranged through an enterprise demo.

**Pricing & Plans:** FacePlugin uses an enterprise licensing model with a request-a-demo flow rather than published self-serve tiers. The core promise is a one-time SDK license with unlimited on-premises inference and no per-call fees; exact pricing depends on the SDKs and deployment paths you choose.

- **Six modular identity SDKs:** Face recognition, face liveness, deepfake detection, ID document recognition, ID liveness, and a combined eKYC suite — pick only what you need.
- **True on-premises deployment:** Server SDKs run on your own Linux hardware or private cloud via Docker, with air-gapped and VPC-friendly options and no per-call charges.
- **On-device mobile SDKs:** iOS, Android, Flutter, and React Native SDKs run matching and capture locally, including offline, so nothing is uploaded.
- **Fraud and deepfake defense:** Layered passive and active liveness plus deepfake detection help stop presentation attacks and synthetic media.
- **Independently benchmarked accuracy:** Positioned with NIST FRVT evaluation and iBeta Level 2 certified presentation attack detection.

**Strengths:** Biometric data and templates never leave your own infrastructure; Unlimited on-premises inference with no per-call fees; Broad platform coverage including offline mobile SDKs; Independently benchmarked and certified liveness capabilities

**Limitations:** No self-serve trial or published price list — requires an enterprise demo; On-premises deployment means you handle infrastructure and updates yourself

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

## Frequently Asked Questions

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

Dust has 547,217 monthly visits, while FacePlugin has 1,840. 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%; FacePlugin has -33.6%.

### 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. FacePlugin: Contact for Pricing. FacePlugin uses an enterprise licensing model with a request-a-demo flow rather than published self-serve tiers. The core promise is a one-time SDK license with unlimited on-premises inference and no per-call fees; exact pricing depends on the SDKs and deployment paths you choose.

## 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 | [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) |
| 7 | [FaceSeek](https://openaitools.app/tool/faceseek-ai-face-search) | 350,166 | -11.9% | Freemium | Reverse face search to find anyone by photo | [.md](https://openaitools.app/tool/faceseek-ai-face-search.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 | [Kore.ai](https://openaitools.app/tool/kore-ai) | 143,328 | -18.2% | Contact for Pricing | Delivers enterprise-grade conversational AI and workflow automation, but focuses more heavily on customer service and enterprise contact centers. | [.md](https://openaitools.app/tool/kore-ai.md) |
| 10 | [Sim AI](https://openaitools.app/tool/sim-ai) | 140,953 | +20.6% | Freemium, Paid (per user/month), and Enterprise with custom pricing; self-hosting free under Apache 2.0 | Open-source workspace to build, deploy and govern AI agents | [.md](https://openaitools.app/tool/sim-ai.md) |

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

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