# Cradle vs Dust

Cradle records 16,993 monthly visits with -22.3% 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 | [Cradle](https://openaitools.app/tool/cradle) | [Dust](https://openaitools.app/tool/dust) |
| :--- | :--- | :--- |
| Website URL | https://cradle.bio | https://dust.tt |
| Categories | AI Design Generator, AI Healthcare, AI Research Tool, AI Productivity Tools | AI Assistant, Large Language Models (LLMs), AI Workflow, AI Knowledge Management |
| Pricing Model | Contact for Pricing | Contact for Pricing |
| Monthly Visits | 16,993 | 547,217 |
| MoM Growth Rate | -22.3% | +1.8% |
| Primary Market | Netherlands | France |
| Direct Visits | 6,214 | 456,919 |
| Review Score | 4.5 | 4.4 |
| Saved Count | 2 | 5 |
| Supported Platforms | Website | Website |

## Cradle

Cradle is a protein engineering platform that applies machine learning to the design and optimization of proteins. Instead of optimizing one property at a time, teams use Cradle to work on potency, specificity, expression, thermostability, and manufacturability simultaneously — compressing the number of experimental rounds needed to reach a candidate that meets a target profile.

The platform covers a broad range of protein classes, including antibodies for ADC and multispecific formats, enzymes that need to hold up in hostile conditions, vaccine antigens that must keep their shape outside the lab, and peptides that need potency within tight constraints even from small datasets. It works whether or not a starting protein already exists, and it learns from the customer's own experimental data, including results from previous failed campaigns, so each design round is better informed than the last.

Cradle is positioned for multiple roles in an organization: experimental scientists get point-and-click candidate design and optimization; computational scientists get the same functionality exposed through an API for scripting and integration; and R&D leadership gains a compounding advantage from every experiment their teams have run. Security is a stated priority, with ISO 27001 and SOC 2 Type II certification and hosting on Google Cloud. Pricing is not published — interested teams discuss their project with Cradle to get terms.

**Pricing & Plans:** Pricing is not publicly listed. Cradle uses a contact-for-pricing model where teams discuss their project and program scope directly with the company; a licensing track and API access are offered alongside the core platform.

- **De novo protein design:** Start from a target or your own sequence and have Cradle design an optimized plate of candidates informed by your data and domain knowledge.
- **Parallel multi-property optimization:** Improve efficacy, developability, and manufacturability in parallel rather than one property at a time, compressing time to a target profile.
- **Closed-loop learning from experimental data:** Every round incorporates results from the previous one, so experimental data compounds across campaigns and prior failed programs stay useful.
- **Full API access:** Everything in the web application is exposed through the API, so computational teams can script campaigns and wire Cradle into existing pipelines.
- **Enterprise-grade security and compliance:** ISO 27001 and SOC 2 Type II certified, hosted on Google Cloud with data isolation and continuous monitoring for enterprise deployments.

**Strengths:** Optimizes multiple protein properties in parallel rather than sequentially, which can cut the number of experimental rounds; Learns from a customer's own experimental data, including negative and failed results; Covers antibodies, enzymes, vaccines, and peptides in one platform; Full API parity with the web app supports computational and automated workflows

**Limitations:** No self-serve trial or published pricing, so evaluation requires a sales conversation; Requires in-house experimental capability to generate the assay data that drives the models; Cost and onboarding are geared to organizations rather than individual researchers

[Profile (Markdown)](https://openaitools.app/tool/cradle.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 Cradle and Dust compare in monthly traffic?

Cradle has 16,993 monthly visits, while Dust has 547,217. Traffic estimates describe audience size, not product quality.

### How do their growth rates compare?

Cradle has a month-over-month growth rate of -22.3%; Dust has +1.8%.

### How does pricing compare?

Cradle: Contact for Pricing. Pricing is not publicly listed. Cradle uses a contact-for-pricing model where teams discuss their project and program scope directly with the company; a licensing track and API access are offered alongside the core platform. 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 | [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 | [Dr.Oracle](https://openaitools.app/tool/dr-oracle) | 723,847 | -1.2% | Free Trial | Guideline-directed medical answers with citations, built for clinicians | [.md](https://openaitools.app/tool/dr-oracle.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 | [Uizard](https://openaitools.app/tool/uizard) | 294,618 | -15% | Freemium | AI-powered UI design and prototyping for product teams | [.md](https://openaitools.app/tool/uizard.md) |
| 9 | [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) |
| 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/cradle-vs-dust

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