# Dust vs Kapsul

Dust records 547,217 monthly visits with +1.8% month-over-month growth and Contact for Pricing pricing. Kapsul records 0 monthly visits with -100% growth and Free Trial, Paid pricing.

| Metric | [Dust](https://openaitools.app/tool/dust) | [Kapsul](https://openaitools.app/tool/kapsul) |
| :--- | :--- | :--- |
| Website URL | https://dust.tt | https://kapsul.ai |
| Categories | AI Assistant, Large Language Models (LLMs), AI Workflow, AI Knowledge Management | AI Developer Tools, Blockchain, Web3, AI Files |
| Pricing Model | Contact for Pricing | Free Trial, Paid |
| Monthly Visits | 547,217 | 0 |
| MoM Growth Rate | +1.8% | -100% |
| Primary Market | France | Global |
| Direct Visits | 456,919 | 0 |
| Review Score | 4.4 | 3.8 |
| 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)

## Kapsul

Kapsul approaches storage as a programmable layer rather than a fixed bucket of capacity. Users describe what a dataset needs — which fields must stay private, which jurisdictions apply, how many replicas are required, which reliability tier is acceptable — and the platform translates those constraints into storage behavior. Because the same control surface spans multiple cloud providers and self-hosted nodes, the intent is to avoid lock-in and keep data portable without rewriting how applications read and write it.

The blockchain component provides verifiable, immutable records of storage activity. That matters for teams that need to demonstrate to auditors, regulators or enterprise customers that data handling rules were actually enforced rather than merely documented. Compliance-oriented features are built in rather than bolted on, which makes Kapsul interesting for regulated industries and for Web3 applications that want durable off-chain data storage.

Kapsul is aimed at builders and platform teams dealing with sensitive or high-stakes data: healthcare records, media assets, financial workloads, supply-chain telemetry, and decentralized applications. The vendor offers a free trial plus demo-led onboarding, and publishes documentation for developers, which suggests a product rather than a purely experimental project. Prospective users should verify current pricing, region availability and supported cloud integrations directly with the vendor, since the platform evolves quickly.

**Pricing & Plans:** Kapsul advertises a free trial leading into paid plans, with custom pricing for teams and enterprises. Exact tiers and rates are not published on the homepage; a demo request is the documented path.

- **Programmable Storage Policies:** Define privacy, encryption, replication and reliability rules per dataset so storage behavior follows your specification instead of a provider's defaults.
- **Built-in Multi-Cloud Support:** Spread data across several cloud providers or self-hosted nodes from one control surface, reducing single-vendor dependency.
- **Adaptive Privacy and Security:** Tailor encryption and access strategies to each application's data sensitivity, keeping sensitive workloads isolated without separate tooling.
- **Compliance-Oriented Controls:** Regulatory requirements are modeled as first-class storage settings, helping teams document and enforce data-handling policy.
- **Verifiable, Immutable Records:** Blockchain-anchored logging gives tamper-evident proof of storage activity for audits and trust-sensitive use cases.

**Strengths:** Unifies privacy, compliance, reliability and multi-cloud control in a single platform; Blockchain-backed verification gives audit-friendly, tamper-evident storage records; Policy model is designed to be application-specific rather than one-size-fits-all; Positioned for regulated industries and AI-scale data volumes

**Limitations:** Public pricing is not listed, so budgeting requires a sales conversation; Homepage provides limited technical detail compared with a full developer reference; Decentralized storage adds architectural complexity that smaller teams may not need

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

## Frequently Asked Questions

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

Dust has 547,217 monthly visits, while Kapsul 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%; Kapsul has -100%.

### 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. Kapsul: Free Trial, Paid. Kapsul advertises a free trial leading into paid plans, with custom pricing for teams and enterprises. Exact tiers and rates are not published on the homepage; a demo request is the documented path.

## 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 | [Labelbox](https://openaitools.app/tool/labelbox) | 762,803 | -22.8% | Contact for Pricing | The environments frontier AI trains on, and the agents that do the recurring work | [.md](https://openaitools.app/tool/labelbox.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 | [Encord](https://openaitools.app/tool/encord-com) | 244,204 | +9.4% | Contact for Pricing | The multimodal data layer for computer vision and physical AI teams | [.md](https://openaitools.app/tool/encord-com.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-kapsul

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