# Dust vs Levity

Dust records 547,217 monthly visits with +1.8% month-over-month growth and Contact for Pricing pricing. Levity records 7,261 monthly visits with -26.6% growth and Contact for Pricing pricing.

| Metric | [Dust](https://openaitools.app/tool/dust) | [Levity](https://openaitools.app/tool/levity) |
| :--- | :--- | :--- |
| Website URL | https://dust.tt | https://levity.ai |
| Categories | AI Assistant, Large Language Models (LLMs), AI Workflow, AI Knowledge Management | AI Workflow, AI Email Assistant, AI Text Classifier, AI Sales Assistant |
| Pricing Model | Contact for Pricing | Contact for Pricing |
| Monthly Visits | 547,217 | 7,261 |
| MoM Growth Rate | +1.8% | -26.6% |
| Primary Market | France | United States |
| Direct Visits | 456,919 | 2,927 |
| Review Score | 4.4 | 4.1 |
| Saved Count | 5 | 4 |
| 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)

## Levity

Levity positions itself as communication intelligence for the global supply chain rather than a generic AI add-on. The platform connects to shared inboxes and systems such as Gmail, Outlook, Zendesk, SAP and CargoWise, then classifies incoming messages into operational categories like track and trace, booking, pricing and quoting, damage claims, customs and general inquiry. On top of that classification layer, teams design automation flows that generate draft replies, summarize threads, extract key dates and route work to the right person or system.

The product is organized around four stages. Analyze surfaces automation potential across millions of emails so operations leaders can spot repetitive requests, handoffs and bottlenecks. Build is a visual flow editor where classifiers, AI actions and pre-built integrations are chained into production workflows. Integrate embeds those workflows into the day-to-day tools operators already use. Scale adds governance: a quality control board for capturing feedback, tracking bugs and exceptions, prioritising improvements, and reviewing AI decisions where humans stay in the loop.

Levity reports more than 100 million emails processed and cites large logistics organisations that use it across spot quoting, order entry, track and trace, document handling, arrival notices, accounts receivable and accounts payable. Pricing is not published on the site; interested teams are routed to a demo request.

**Pricing & Plans:** Pricing is not published publicly. Levity offers a scheduled demo and custom enterprise arrangements; the listing is categorized as contact for pricing.

- **Inbox classification:** Connects to shared mailboxes and classifies each message into operational categories such as track and trace, booking, quoting, claims and customs.
- **No-code automation flows:** A visual builder chains classifiers and AI actions like draft reply generation, thread summarisation and key date extraction into repeatable workflows.
- **Logistics system integrations:** Native connectors for the tooling freight and logistics teams already run, including CargoWise, Outlook, Gmail, SAP and Zendesk, plus custom forward-deployed integrations.
- **Analytics and control tower:** Dashboards track incoming volumes, category mix, internal versus external traffic and automation impact, with natural-language querying of operational data.
- **Quality control and human in the loop:** A feedback board captures bugs, exceptions and improvement requests, while reviewers can correct AI decisions directly in the operational workflow.

**Strengths:** Deeply specialised for logistics and supply chain communication rather than a generic AI wrapper; Combines classification, workflow building, integrations and governance in one platform; Reported track record at scale with over 100 million emails processed in production; Human-in-the-loop review and a feedback board keep AI output accountable

**Limitations:** No public pricing, so costs require a sales conversation; Most value depends on connecting large shared inboxes, which is heavier than dropping in a simple tool; Enterprise-grade setup and custom integrations can slow time to first automation

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

## Frequently Asked Questions

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

Dust has 547,217 monthly visits, while Levity has 7,261. 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%; Levity has -26.6%.

### 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. Levity: Contact for Pricing. Pricing is not published publicly. Levity offers a scheduled demo and custom enterprise arrangements; the listing is categorized as contact for pricing.

## 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 | [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) |
| 8 | [Beam AI](https://openaitools.app/tool/beam-ai) | 157,935 | +37.6% | Contact for Pricing | An agentic automation platform that turns manual enterprise processes into self-running workflows | [.md](https://openaitools.app/tool/beam-ai.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-levity

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