# Dust vs Opilot.ai

Dust records 547,217 monthly visits with +1.8% month-over-month growth and Contact for Pricing pricing. Opilot.ai records 0 monthly visits with 0% growth and Contact for Pricing pricing.

| Metric | [Dust](https://openaitools.app/tool/dust) | [Opilot.ai](https://openaitools.app/tool/opilot-alpha) |
| :--- | :--- | :--- |
| Website URL | https://dust.tt | https://opilot.ai |
| Categories | AI Assistant, Large Language Models (LLMs), AI Workflow, AI Knowledge Management | AI Copilot, AI Summarizer, AI Writing Assistants, Large Language Models (LLMs) |
| Pricing Model | Contact for Pricing | Contact for Pricing |
| Monthly Visits | 547,217 | 0 |
| MoM Growth Rate | +1.8% | 0% |
| Primary Market | France | Global |
| Direct Visits | 456,919 | 0 |
| Review Score | 4.4 | 4.2 |
| 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)

## Opilot.ai

Opilot.ai describes itself as the intelligence layer for Oracle and PeopleSoft ecosystems. It is aimed at enterprises running legacy ERP systems where critical signals are locked inside departmental silos. Rather than replacing those systems, Opilot.ai layers semantic intelligence on top of them.

The platform works in three layers. A registry layer maps semantic relationships between business objects, responsibilities, processes and source data. An inference layer uses AI reasoners to surface outliers, risks, bottlenecks and optimization opportunities. An action layer provides secure endpoints and governed agents that can recommend, correct and automate workflows, with audit trails and role-aware controls.

A central part of the pitch is governance and security: Opilot.ai states that 100% of data stays local, and it is built by Oracle tech-functional leaders with over 25 years of experience for high-security, high-integrity environments. Pricing is quoted per engagement, with an enterprise simulation pilot followed by a full intelligence-layer rollout.

**Pricing & Plans:** Opilot.ai uses contact-based enterprise pricing. The site outlines a pilot engagement (validating a selected business process, semantic registry and simulation) and a custom enterprise rollout. No public list prices are shown — you request a demo for a quote.

- **Oracle and PeopleSoft intelligence layer:** Opilot.ai sits on top of Oracle EBS, Fusion, PeopleSoft and Oracle Database, mapping business objects, responsibilities and processes into a semantic registry so data gains context.
- **Predictive inference:** Reasoners identify outliers, risks, bottlenecks and optimization opportunities across connected enterprise processes.
- **What-if simulation:** Model what-if scenarios for finance, supply chain and operations so leaders can simulate outcomes before they hit the balance sheet.
- **Governed agentic execution:** Governed agents recommend, correct and automate workflows with audit trails, role-aware controls and explainable reasoning.
- **Data stays local:** Opilot.ai is designed so enterprise data stays local, with 100% data residency and no data leaving your environment.

**Strengths:** Purpose-built for Oracle EBS, Fusion, PeopleSoft and Oracle Database environments; Combines semantic registry, predictive simulation and governed action in one layer; Emphasises data residency with 100% data kept local; Explainable reasoning and audit trails suited to regulated enterprises

[Profile (Markdown)](https://openaitools.app/tool/opilot-alpha.md)

## Frequently Asked Questions

### How do Dust and Opilot.ai compare in monthly traffic?

Dust has 547,217 monthly visits, while Opilot.ai has 0. 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%; Opilot.ai 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. Opilot.ai: Contact for Pricing. Opilot.ai uses contact-based enterprise pricing. The site outlines a pilot engagement (validating a selected business process, semantic registry and simulation) and a custom enterprise rollout. No public list prices are shown — you request a demo for a quote.

## 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 | [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) |
| 9 | [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) |
| 10 | [Agno](https://openaitools.app/tool/agno) | 140,302 | -3.3% | Contact for Pricing, Free | Self-driving agent platform you run in your own cloud | [.md](https://openaitools.app/tool/agno.md) |

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Source: https://openaitools.app/compare/dust-vs-opilot-alpha

More Markdown: [Categories](https://openaitools.app/categories.md) · [Traffic rankings](https://openaitools.app/rankings.md) · [llms.txt](https://openaitools.app/llms.txt)