# Boogie (Velos) vs Dust

Boogie (Velos) records 0 monthly visits with 0% month-over-month growth and Contact for Pricing pricing. Dust records 547,217 monthly visits with +1.8% growth and Contact for Pricing pricing.

| Metric | [Boogie (Velos)](https://openaitools.app/tool/boogie) | [Dust](https://openaitools.app/tool/dust) |
| :--- | :--- | :--- |
| Website URL | https://www.gradientj.com | https://dust.tt |
| Categories | AI Workflow, AI Agent, AI Assistant, AI Document Extraction | AI Assistant, Large Language Models (LLMs), AI Workflow, AI Knowledge Management |
| Pricing Model | Contact for Pricing | Contact for Pricing |
| Monthly Visits | 0 | 547,217 |
| MoM Growth Rate | 0% | +1.8% |
| Primary Market | Global | France |
| Direct Visits | 0 | 456,919 |
| Review Score | 4.2 | 4.4 |
| Saved Count | 3 | 5 |
| Supported Platforms | Website | Website |

## Boogie (Velos)

Boogie now operates under the Velos brand and positions itself as a different kind of insurance BPO. Instead of shipping manual post-bind work to overseas teams, it trains software to perform the same tasks so that cost does not scale linearly with volume. The platform is aimed at specialty MGAs, program managers and carriers with sensitive data and heavy recurring reporting obligations.

The core idea is that Velos learns the nuances of a process, tests against the customer's own data, encodes edge cases and business rules, and then executes at machine speed. Teams keep real-time visibility into outcomes and exceptions, and reporting cycles that once took up to a week can compress to a single day. Published customer results cite 98% accuracy, several days of faster reporting and no added headcount.

Because the offering is delivered as a managed automation service rather than self-serve software, pricing is quoted per engagement; interested teams are directed to talk to sales. Common workloads include data entry, bordereaux, policy servicing, billing and invoicing, loss reserving and month-end close data.

**Pricing & Plans:** Pricing is not published publicly; Velos/Boogie is sold as an enterprise engagement and directs prospective customers to talk to sales for a quote.

- **Auditable AI + code workflows:** Turns messy manual processes into documented, auditable automations that combine AI reasoning with deterministic code.
- **Insurance-native use cases:** Out-of-the-box coverage for data entry, bordereaux reporting, policy servicing, billing and invoicing, loss reserving and month-end close data.
- **Guaranteed-accuracy testing:** Validates against your real data, learns your edge cases and follows your business rules before going live.
- **Scale without headcount:** Handles volume spikes with software rather than extra outsourced staff, keeping cost decoupled from transaction count.
- **Real-time visibility:** Live insight into every outcome and exception so operations teams can trust and monitor the automation.

**Strengths:** Purpose-built for insurance back-office processes rather than generic workflow tooling; Documented customer outcomes such as 98% accuracy and multi-day reporting speedups; Kinetic pricing model scales with software, not outsourced headcount; Built with security and auditability in mind for sensitive financial data

**Limitations:** No transparent public pricing; requires a sales conversation; Focused on insurance, so less suited to unrelated industries; Managed-service delivery means less hands-on self-serve control

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

## 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)

## Frequently Asked Questions

### How do Boogie (Velos) and Dust compare in monthly traffic?

Boogie (Velos) has 0 monthly visits, while Dust has 547,217. Traffic estimates describe audience size, not product quality.

### How do their growth rates compare?

Boogie (Velos) has a month-over-month growth rate of 0%; Dust has +1.8%.

### How does pricing compare?

Boogie (Velos): Contact for Pricing. Pricing is not published publicly; Velos/Boogie is sold as an enterprise engagement and directs prospective customers to talk to sales for a quote. 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.

## 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 | [Zapier](https://openaitools.app/tool/zapier-com) | 5,065,248 | +0.4% | Freemium, Free Trial, Paid | Automate work across thousands of apps — no code required | [.md](https://openaitools.app/tool/zapier-com.md) |
| 4 | [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) |
| 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 | [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) |
| 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 | [Process Street](https://openaitools.app/tool/process-street) | 226,993 | +17.8% | Free Trial, Contact for Pricing | Turn policies into AI-enforced workflows you can prove | [.md](https://openaitools.app/tool/process-street.md) |
| 10 | [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) |

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

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