# Dust vs Harold

Dust records 547,217 monthly visits with +1.8% month-over-month growth and Contact for Pricing pricing. Harold records 80 monthly visits with 0% growth and Free Trial, Paid pricing.

| Metric | [Dust](https://openaitools.app/tool/dust) | [Harold](https://openaitools.app/tool/harold) |
| :--- | :--- | :--- |
| Website URL | https://dust.tt | https://useharold.com |
| Categories | AI Assistant, Large Language Models (LLMs), AI Workflow, AI Knowledge Management | AI ERP, AI Accounting, AI Document Extraction |
| Pricing Model | Contact for Pricing | Free Trial, Paid |
| Monthly Visits | 547,217 | 80 |
| MoM Growth Rate | +1.8% | 0% |
| Primary Market | France | Türkiye |
| Direct Visits | 456,919 | 31 |
| Review Score | 4.4 | 4 |
| 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)

## Harold

Harold is built on a simple premise: most document tools extract text, but few make that text trustworthy. Harold extracts data from invoices, receipts, purchase orders and statements, then applies a rules engine to validate it — checking that totals match subtotals and VAT, that supplier IDs are correct and that every line item adds up — before push to your systems.

The key differentiator is where Harold catches problems. Instead of silently passing half-extracted documents downstream, it flags or fixes issues at the point of entry. A supplier mapping feature lets you map document aliases to your internal supplier IDs once and reuse that mapping forever, and output templates let you shape the export to exactly what your ERP, finance team or Zapier flow expects.

Harold connects via Zapier or a ready-to-import file, and supports newer and legacy ERPs including Sage, Pegasus, SYSPRO and WinMan, as well as spreadsheets and inbox ingestion. Pricing is simple and predictable with a £19/month Founder rate, a £29/month Standard plan, a £79/month Premium tier and an Enterprise option for high-volume processing.

**Pricing & Plans:** Harold uses simple tiered subscriptions: a free start to train your first document, a limited Founder rate at £19/month, Standard at £29/month, Premium at £79/month and Enterprise at £149/month, each with set monthly extraction and automation limits.

- **Document extraction:** AI pulls headers, totals, line items and references from invoices, receipts, purchase orders and statements into structured data.
- **Rules validation engine:** IF checks, formulas and conditional logic catch wrong totals, missing fields and bad supplier IDs, or transform data on the fly.
- **Supplier mapping:** Map any supplier alias on a document to your internal supplier ID once, and Harold applies it automatically from then on.
- **Output templates:** Shape exports to match your ERP, finance team or Zapier flow with CSV, Excel, JSON and webhook output templates.
- **ERP and Zapier integrations:** Connect via Zapier or a ready-to-import file to send clean data into new and legacy ERPs, accounting tools, Excel or Google Sheets.

**Strengths:** Validates data before it reaches accounting systems, not just extracts it; Works with both modern and legacy ERPs plus spreadsheets and Zapier; Supplier mapping and reusable output templates cut repetitive setup; Live pricing and a free way to test with your own documents

**Limitations:** Priced in GBP, which may not suit all international buyers; Document box and automation limits rise only with higher tiers; Setup requires training documents per supplier for best accuracy; No self-serve enterprise features without contacting sales

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

## Frequently Asked Questions

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

Dust has 547,217 monthly visits, while Harold has 80. 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%; Harold has 0%.

### 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. Harold: Free Trial, Paid. Harold uses simple tiered subscriptions: a free start to train your first document, a limited Founder rate at £19/month, Standard at £29/month, Premium at £79/month and Enterprise at £149/month, each with set monthly extraction and automation limits.

## 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 | [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) |
| 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-harold

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