# Dust vs Web3.com Ventures

Dust records 547,217 monthly visits with +1.8% month-over-month growth and Contact for Pricing pricing. Web3.com Ventures records 4,064 monthly visits with +78.6% growth and Contact for Pricing pricing.

| Metric | [Dust](https://openaitools.app/tool/dust) | [Web3.com Ventures](https://openaitools.app/tool/web3-com) |
| :--- | :--- | :--- |
| Website URL | https://dust.tt | https://web3.com |
| Categories | AI Assistant, Large Language Models (LLMs), AI Workflow, AI Knowledge Management | Web3, AI Investing, AI Crypto, Blockchain |
| Pricing Model | Contact for Pricing | Contact for Pricing |
| Monthly Visits | 547,217 | 4,064 |
| MoM Growth Rate | +1.8% | +78.6% |
| Primary Market | France | United States |
| Direct Visits | 456,919 | 1,541 |
| Review Score | 4.4 | 3.8 |
| Saved Count | 5 | 3 |
| 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)

## Web3.com Ventures

Web3.com Ventures is a private venture fund positioned at the meeting point of the open web and artificial intelligence. Rather than spreading capital widely, the fund states that it invests early, concentrates its attention on a small number of teams, and stays close from the first check through subsequent rounds. It typically engages from pre-seed to Series A and pairs capital with access to operators, researchers and networks.

The stated focus areas span six themes: infrastructure, meaning the protocols and developer platforms of the open internet; financial systems, where value moves like information; AI-native applications conceived with intelligence at the core; compute networks powering machine intelligence; privacy, covering cryptography and confidential computing; and decentralized networks that coordinate people, machines and capital.

Its public portfolio page lists roughly 27 direct investments alongside holdings in five venture funds. Named direct investments include data and AI projects, autonomous AI agent networks, distributed GPU compute providers, AI evaluation platforms, DeFi protocols, Bitcoin-focused infrastructure and consumer apps. The fund also acts as a fund of funds, backing managers including Balaji Fund, HashKey Capital, IOSG Ventures, Animoca Brands and Hack VC. Founders can pitch directly through the site.

**Pricing & Plans:** No public price list. As a venture fund, terms are negotiated deal by deal; Web3.com Ventures provides capital to portfolio companies from pre-seed to Series A rather than selling a product or subscription. Founders submit a pitch through the site to start a conversation.

- **Early-stage check writing:** Invests from pre-seed through Series A, aiming to lead or participate in rounds where it can contribute meaningfully beyond capital.
- **Web3 + AI thesis:** Concentrates on open-network infrastructure and AI-native products, covering six stated themes including compute, privacy and decentralized coordination.
- **Direct investments:** A portfolio of roughly 27 companies spanning data and AI, AI agents, compute, DeFi, Bitcoin infrastructure and consumer applications.
- **Fund of funds:** Allocates capital to selected venture managers such as Balaji Fund, HashKey Capital, IOSG Ventures, Animoca Brands and Hack VC.
- **Founder access and networks:** Pairs funding with introductions to operators, researchers and networks that matter for early growth.

**Strengths:** Clear, focused thesis at the Web3 and AI intersection rather than a generalist mandate; States that it invests early and stays close through follow-on rounds; Public portfolio and fund-of-funds list make it easy to judge fit before pitching; Direct pitch route via the site for founders

**Limitations:** No public pricing or standard terms; everything is deal by deal; Early-stage venture investing is inherently high risk for anyone considering it as exposure; Portfolio and thesis pages are marketing-oriented, so details on check sizes and stage are limited

[Profile (Markdown)](https://openaitools.app/tool/web3-com.md)

## Frequently Asked Questions

### How do Dust and Web3.com Ventures compare in monthly traffic?

Dust has 547,217 monthly visits, while Web3.com Ventures has 4,064. 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%; Web3.com Ventures has +78.6%.

### 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. Web3.com Ventures: Contact for Pricing. No public price list. As a venture fund, terms are negotiated deal by deal; Web3.com Ventures provides capital to portfolio companies from pre-seed to Series A rather than selling a product or subscription. Founders submit a pitch through the site to start a conversation.

## 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 | [OpenTrain AI](https://openaitools.app/tool/opentrain-ai) | 1,469,348 | +11.2% | Contact for Pricing | Hire tested AI trainers and data labelers for RLHF, evaluation, and annotation | [.md](https://openaitools.app/tool/opentrain-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 | [StockStory](https://openaitools.app/tool/stockstory-org) | 185,305 | -33.3% | Free | Plain-English earnings previews and market news for retail investors | [.md](https://openaitools.app/tool/stockstory-org.md) |
| 10 | [AI Agent Store](https://openaitools.app/tool/ai-agent-store) | 169,388 | -5.4% | Freemium, Free Trial, Paid | Marketplace to find, hire, or build AI agents for real work | [.md](https://openaitools.app/tool/ai-agent-store.md) |

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Source: https://openaitools.app/compare/dust-vs-web3-com

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