# Dust vs Edra

Dust records 547,217 monthly visits with +1.8% month-over-month growth and Contact for Pricing pricing. Edra records 19,144 monthly visits with -14.1% growth and Contact for Pricing pricing.

| Metric | [Dust](https://openaitools.app/tool/dust) | [Edra](https://openaitools.app/tool/edra) |
| :--- | :--- | :--- |
| Website URL | https://dust.tt | https://edra.ai |
| Categories | AI Assistant, Large Language Models (LLMs), AI Workflow, AI Knowledge Management | AI Agent, AI Knowledge Management, AI Knowledge Base, AI Workflow |
| Pricing Model | Contact for Pricing | Contact for Pricing |
| Monthly Visits | 547,217 | 19,144 |
| MoM Growth Rate | +1.8% | -14.1% |
| Primary Market | France | United States |
| Direct Visits | 456,919 | 9,270 |
| 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)

## Edra

Edra frames its approach as a new category it calls "ContextOps." The premise is that an AI model is only as useful as the operational context it is given, so Edra starts by reading the data companies already produce — support tickets, system logs, chat messages — and reverse-engineering the real processes hidden inside them. The output is a structured library of "executable knowledge" that captures rules, escalation paths, and decision logic without the usual discovery interviews or process-mapping workshops.

From that library, Edra deploys agents that work inside existing source systems including ServiceNow, JIRA, Zendesk, Salesforce, and Outlook, as well as alongside previously deployed AI assistants. A key differentiator is transparency: instead of black-box automation, Edra generates human-readable playbooks where every rule and decision is traceable and auditable, so teams can review, edit, and ultimately own the automation logic.

The platform also runs continuous learning loops. It detects inconsistencies, process drift, and knowledge gaps, and updates the knowledge library automatically as the organization changes, keeping agents grounded in current operating reality. Edra is used most visibly for IT service management and technical support, with published customer stories including HubSpot and ASOS — the latter reportedly lifting IT knowledge base coverage from 30% to 90%. The company operates from New York and London and sells via demo-led enterprise engagements, so pricing is quoted on request.

**Pricing & Plans:** Pricing is not published publicly; Edra sells through a demo-led enterprise motion, and prospects are invited to book a demo or start a zero-setup pilot that shows their processes within a week.

- **Zero-setup process discovery:** Edra reads tickets, logs, and messages to reverse-engineer how your business actually runs, then organizes the findings into a library of executable knowledge — no interviews or workshops required.
- **Transparent, auditable automation:** Agents follow human-readable playbooks where every rule and decision is traceable, so you can review, edit, and own the logic behind every automated action.
- **Works inside existing systems:** Agents operate directly within ServiceNow, JIRA, Zendesk, Salesforce, Outlook, and existing AI implementations rather than forcing a rip-and-replace migration.
- **Continuous learning and gap detection:** The platform flags inconsistencies, process changes, and knowledge gaps and updates the knowledge library automatically as the company evolves.
- **Enterprise-grade deployment:** Built for IT service management, technical support, and similar operations where reliability, auditability, and knowledge base coverage matter.

**Strengths:** Removes the manual process-discovery bottleneck by mining data you already have; Human-readable playbooks make automation reviewable and auditable; Agents run inside mainstream systems like ServiceNow, JIRA, Zendesk, and Salesforce; Continuous learning keeps knowledge current as processes drift

**Limitations:** No public pricing; you must go through a demo or pilot process; Enterprise-focused positioning may be more than small teams need; Value depends on having enough historical ticket and log data to learn from

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

## Frequently Asked Questions

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

Dust has 547,217 monthly visits, while Edra has 19,144. 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%; Edra has -14.1%.

### 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. Edra: Contact for Pricing. Pricing is not published publicly; Edra sells through a demo-led enterprise motion, and prospects are invited to book a demo or start a zero-setup pilot that shows their processes within a week.

## 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 | The AI workspace where teams and agents get work done together | [.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 | [Intercom](https://openaitools.app/tool/intercom-com) | 4,471,110 | +2.7% | Free Trial, Paid | AI-first customer service with a natively integrated AI agent | [.md](https://openaitools.app/tool/intercom-com.md) |
| 4 | [Glean](https://openaitools.app/tool/glean) | 3,301,875 | +0.1% | Contact for Pricing | Enterprise AI grounded in your company's own knowledge | [.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 | [TraeWork](https://openaitools.app/tool/traework) | 2,785,249 | -7.8% | Contact for Pricing | ByteDance's AI-native workspace for natural-language task execution | [.md](https://openaitools.app/tool/traework.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 | [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 | [TextCortex AI](https://openaitools.app/tool/textcortex-ai) | 150,520 | +12.7% | Freemium, Free Trial | No-code AI agents grounded in your company's knowledge | [.md](https://openaitools.app/tool/textcortex-ai.md) |

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

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