# Dust vs Evolution AI

Dust records 547,217 monthly visits with +1.8% month-over-month growth and Contact for Pricing pricing. Evolution AI records 7,720 monthly visits with +24.9% growth and Paid pricing.

| Metric | [Dust](https://openaitools.app/tool/dust) | [Evolution AI](https://openaitools.app/tool/evolution-ai) |
| :--- | :--- | :--- |
| Website URL | https://dust.tt | https://www.evolution.ai |
| Categories | AI Assistant, Large Language Models (LLMs), AI Workflow, AI Knowledge Management | AI Document Extraction, AI For Finance, Large Language Models (LLMs) |
| Pricing Model | Contact for Pricing | Paid |
| Monthly Visits | 547,217 | 7,720 |
| MoM Growth Rate | +1.8% | +24.9% |
| Primary Market | France | United States |
| Direct Visits | 456,919 | 3,030 |
| 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)

## Evolution AI

Evolution AI is a London-based intelligent document processing company that applies generative AI to the most awkward documents in finance and identity verification. Instead of template matching, its models read complex layouts — balance sheets, income statements, cash flow statements, bank statements, invoices, trade finance documents, contracts, passports and driving licences — and return clean structured data that can flow straight into underwriting, analysis or reporting systems.

Configure Extraction is done through a simple point-and-click interface: you identify which data points matter and the system captures them without you writing rules or code. Accuracy is managed in two ways. First, the platform is self-learning, so any correction a user makes teaches the model not to repeat the mistake. Second, a dedicated quality-assurance workflow with annotation tools and monitoring dashboards lets organisations decide how much human review each document receives, balancing speed against certainty.

Evolution AI positions itself as a science-led company and cites enterprise clients such as NatWest, Dun & Bradstreet and Deutsche Bank, along with case studies claiming large reductions in extraction time and cost. It targets commercial finance, banks, private equity, asset management, insurance brokers, M&A teams and independent financial advisors. A free trial and demo booking are available, with pricing handled through sales.

**Pricing & Plans:** Paid, enterprise-oriented. A free trial and demo booking are offered via the website; specific pricing is handled through a sales conversation rather than a public price list.

- **Financial statement extraction:** Pull structured figures out of balance sheets, income statements and cash flow statements with accounting-grade accuracy.
- **Broad document coverage:** Capture data from bank statements, invoices, contracts, trade finance documents and identity documents like passports and driving licences.
- **No rules, no code:** Point-and-click to define the data points you want; no rule writing or coding required.
- **Self-learning accuracy:** Users correct errors and the system learns, so accuracy improves on your specific document styles over time.
- **QA workflows and dashboards:** Combine extensible QA interfaces, annotation tools and monitoring dashboards so you set the level of human review per document type.

**Strengths:** Handles complex financial documents without templates or code; Self-learning loop and QA workflow keep accuracy high; Strong enterprise track record with named financial-institution clients; Covers both financial statements and identity/transaction documents

**Limitations:** Enterprise-oriented pricing and sales process, not a low-cost self-serve tool for individuals; Requires implementation and QA workflow configuration to get the best accuracy; Focused on financial and identity document types rather than arbitrary image extraction; Public pricing detail is limited to a demo/sign-up flow

[Profile (Markdown)](https://openaitools.app/tool/evolution-ai.md)

## Frequently Asked Questions

### How do Dust and Evolution AI compare in monthly traffic?

Dust has 547,217 monthly visits, while Evolution AI has 7,720. 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%; Evolution AI has +24.9%.

### 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. Evolution AI: Paid. Paid, enterprise-oriented. A free trial and demo booking are offered via the website; specific pricing is handled through a sales conversation rather than a public price list.

## 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 | [LlamaIndex](https://openaitools.app/tool/llamaindex) | 387,910 | +19.9% | Freemium, Contact for Pricing | Turn any document into AI-ready context with agentic parsing and extraction | [.md](https://openaitools.app/tool/llamaindex.md) |
| 7 | [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) |
| 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 | [Nanonets](https://openaitools.app/tool/nanonets) | 221,826 | -10.6% | Free Trial, Paid, Contact for Pricing | AI agents that run document-heavy business processes end to end | [.md](https://openaitools.app/tool/nanonets.md) |
| 10 | [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) |

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Source: https://openaitools.app/compare/dust-vs-evolution-ai

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