# Dust vs TestFit

Dust records 547,217 monthly visits with +1.8% month-over-month growth and Contact for Pricing pricing. TestFit records 56,871 monthly visits with -14.9% growth and Paid, Contact for Pricing pricing.

| Metric | [Dust](https://openaitools.app/tool/dust) | [TestFit](https://openaitools.app/tool/testfit) |
| :--- | :--- | :--- |
| Website URL | https://dust.tt | https://www.testfit.io |
| Categories | AI Assistant, Large Language Models (LLMs), AI Workflow, AI Knowledge Management | AI Real Estate, AI Floor Plan Generator, AI Design Generator |
| Pricing Model | Contact for Pricing | Paid, Contact for Pricing |
| Monthly Visits | 547,217 | 56,871 |
| MoM Growth Rate | +1.8% | -14.9% |
| Primary Market | France | United States |
| Direct Visits | 456,919 | 30,288 |
| Review Score | 4.4 | 4.4 |
| 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)

## TestFit

TestFit is a real estate feasibility platform built for the earliest stage of a development deal — the point where you need to know quickly whether a site is worth pursuing. Instead of waiting weeks for a preconstruction team to produce a first draft, you map a parcel or draw a boundary, choose a typology, and let the software generate a complete, editable site plan with buildings, roads, turning radii, parking and topography. TestFit's own customers describe cutting initial site sizing from three to four weeks down to about ten minutes, and the platform reports usage across 6,200+ users.

The product is organised around three solvers. Site Solver handles automated feasibility and deal evaluation using generative design and detailed building presets. Parking Solver concentrates on surface and structured parking layouts, custom stalls and drive aisles. Urban Planner is the entry point for quick massing work, with 2D and 3D visualisation, road layouts, a yield estimator and unlimited users. Around those sit optional add-ons: Site Intelligence supplies parcel, environmental and zoning data plus 3D terrain and cut-and-fill analysis; Pro Forma live-links financials to the plan and imports your own Excel templates; and the MCP Connection lets you prompt site plans from an AI assistant.

Flipping the traditional workflow matters here — TestFit validates a pro forma against an actual physical layout rather than an assumed one, which is what makes the takeoffs for parking, infrastructure and earthwork worth trusting early. Approved layouts then flow into Revit, SketchUp, AutoCAD, Excel or PDF so the concept work survives into documentation, and live feasibility reports keep consultants and stakeholders aligned. Layouts cover multi-family, single-family, industrial, retail, hotel, data center and parking typologies.

**Pricing & Plans:** Paid, quote-based at the top end. Urban Planner is $75/month and Parking Solver $195/month, both billed monthly; Site Solver starts at $15,000/year and Site Solver Portfolio at $20,000/year, billed annually. Add-ons: Site Intelligence +$150/month, Pro Forma +$170/month, MCP Connection +$100/month.

- **Generative site planning:** Map any parcel or draw custom boundaries, then generate a buildable plan with road layout, turning radii and topography handled so you avoid redesign later.
- **Parking Solver:** Produce optimal surface and structured parking layouts, set custom stalls and drive aisles, and validate parking ratios without manual drafting.
- **Site Intelligence data:** Overlay parcel, environmental and zoning data, model 3D terrain with cut-and-fill analysis, and check power and utilities infrastructure before design assumptions harden.
- **Live-linked pro forma:** Connect financial models directly to your design, with live pro forma figures and import of your own Excel templates, to see whether a deal pencils.
- **Takeoffs and direct integrations:** Generate cost estimates for parking, infrastructure and earthwork early, and push approved layouts to Revit, SketchUp, AutoCAD, Excel or PDF.

**Strengths:** Turns site feasibility from a multi-week exercise into an hours-long loop, enabling far more alternatives per budget; Financials are validated against a real generated layout instead of a rough assumption; Approved plans push straight into Revit, SketchUp, AutoCAD, Excel and PDF, so early work is not throwaway; Comprehensive typology coverage, from multi-family and industrial to data centers and structured parking

**Limitations:** Entry price for automated feasibility starts at $15,000/year, which puts full generative design out of reach for very small teams; Site Intelligence data layers such as parcel, flood zone and zoning coverage vary by country; Training and support are English-only and operate during U.S. business hours; Generative design and detailed typology solutions are gated to the Site Solver tier upward

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

## Frequently Asked Questions

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

Dust has 547,217 monthly visits, while TestFit has 56,871. 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%; TestFit has -14.9%.

### 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. TestFit: Paid, Contact for Pricing. Paid, quote-based at the top end. Urban Planner is $75/month and Parking Solver $195/month, both billed monthly; Site Solver starts at $15,000/year and Site Solver Portfolio at $20,000/year, billed annually. Add-ons: Site Intelligence +$150/month, Pro Forma +$170/month, MCP Connection +$100/month.

## 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 | [DealMachine](https://openaitools.app/tool/dealmachine-com) | 410,500 | +63.1% | Free Trial, Paid | AI property data, skip tracing and direct mail for real estate investors | [.md](https://openaitools.app/tool/dealmachine-com.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 | [Home Design AI](https://openaitools.app/tool/home-design-ai) | 286,523 | -3.3% | Free | AI interior design, floor plans and 3D models for every home project | [.md](https://openaitools.app/tool/home-design-ai.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/dust-vs-testfit

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