# Miro vs Scale

Miro records 30,749,206 monthly visits with +1.7% month-over-month growth and Freemium, Contact for Pricing pricing. Scale records 616,915 monthly visits with +12.5% growth and Contact for Pricing pricing.

| Metric | [Miro](https://openaitools.app/tool/miro) | [Scale](https://openaitools.app/tool/scale) |
| :--- | :--- | :--- |
| Website URL | https://miro.com | https://scale.com |
| Categories | AI Project Management, AI Workflow, Whiteboard AI, AI Diagram Generator | AI Developer Tools, Large Language Models (LLMs), AI Models, AI Agent |
| Pricing Model | Freemium, Contact for Pricing | Contact for Pricing |
| Monthly Visits | 30,749,206 | 616,915 |
| MoM Growth Rate | +1.7% | +12.5% |
| Primary Market | United States | United States |
| Direct Visits | 20,179,618 | 191,408 |
| Review Score | 4.5 | 4.7 |
| Saved Count | 40 | 3 |
| Supported Platforms | Website | Website |

## Miro

Miro is a visual collaboration platform built around an infinite, multiplayer canvas. Teams use it to run brainstorming sessions, design sprints, workshops, and retrospectives, sketching ideas as sticky notes, shapes, and freeform drawings that everyone can see and edit at the same time. What began as a digital whiteboard has expanded into an "innovation workspace" where the messy early thinking and the structured plan that follows live in one place.

Structured formats are a large part of that expansion. Miro boards can hold Docs, Tables, Slides, Kanban boards, and Timelines, so a research synthesis can flow straight into a roadmap without switching tools. Thousands of templates and prebuilt playbooks cover common ceremonies, from customer journey mapping to technical architecture diagrams. Deep integrations with Jira, Asana, Linear, ClickUp, Slack, and Microsoft let the canvas stay connected to where work actually gets executed.

AI now runs through the product. Miro can generate diagrams, tables, and summaries from board content, clean up images, and connect external assistants such as Claude, Cursor, or Copilot through an MCP server. Paid plans meter these features with AI credits, and enterprise tiers add SSO, governance controls, and advanced security. Pricing starts with a free tier for small teams and scales through per-member plans to custom enterprise agreements.

**Pricing & Plans:** Freemium with three paid paths. Free covers small teams with 3 editable boards, templates, and core formats. Starter runs about $8 per member/month billed yearly with unlimited private boards and 25 AI credits per member. Business is about $20 per member/month billed yearly with workspaces, prototyping, and AI workflows. Enterprise is quoted on request with SSO, governance, and dedicated support.

- **Infinite collaborative canvas:** An infinite multiplayer board where cursors, comments, and live editing let remote and hybrid teams work in the same space simultaneously.
- **Structured formats on the canvas:** Docs, Tables, Slides, Kanban, and Timelines live alongside freeform drawing so a workshop can turn directly into a structured plan.
- **AI diagramming and synthesis:** Generate diagrams, tables, and summaries, remove image backgrounds, and connect external AI assistants through the MCP server.
- **Templates and playbooks:** 6,000-7,000+ templates for brainstorming, workshops, roadmapping, and process mapping give teams a running start.
- **Integrations and two-way sync:** Connect 250+ tools such as Jira, Asana, Linear, Slack, and Microsoft, with two-way sync available for planning workflows.

**Strengths:** Best-in-class infinite canvas that scales from a quick brainstorm to large workshops; Structured Docs, Tables, Slides, and Kanban reduce tool switching; Huge integration and template ecosystem including two-way Jira and Linear sync; Strong enterprise security, SSO, and admin controls for large organizations

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

## Scale

Scale positions itself as the infrastructure layer for reliable AI - the data, evaluations and deployment support that sit underneath working systems rather than a single consumer-facing model. Founded in 2016, it built its reputation supplying training data and labelling capacity to the autonomous vehicle and then the generative AI wave, and now describes itself as powering a large share of the world's leading generative AI model builders.

The offering spans three broad areas. Data covers sourcing and expert annotation for training and fine-tuning, including RLHF-style preference data. Evaluation covers public leaderboards and private benchmarks used to measure model capability and safety. Applications covers the build-and-deploy side: identifying a viable use case, constructing the system and owning the outcome, with agentic AI for enterprise operations.

Scale's customer list leans heavily enterprise and public sector, including large technology companies, healthcare providers, media organisations, energy companies and government defence programmes. Because engagements are scoped rather than self-serve, pricing is arranged through a sales process, and the platform is aimed at organisations with serious data volume, strict compliance needs and a mandate to put AI into production.

**Pricing & Plans:** Contact for pricing. Scale does not publish rates; engagements are scoped through a sales conversation and depend on data volume, services and programme complexity.

- **Data Engine:** Human-sourced and expert-annotated training data, including specialist contributors with advanced degrees, at the quality bar frontier labs require.
- **Model evaluation & benchmarks:** Public leaderboards plus private benchmarks that test model capability and safety for the most ambitious AI developers.
- **Enterprise AI applications:** Platform and services teams that pick the right use case, build the system and take ownership of the outcome.
- **Agentic deployment:** Agentic systems designed around measurable business outcomes across private equity portfolios, energy and healthcare operations.
- **Domain expertise:** Programmes spanning healthcare, robotics, defence, public sector and enterprise with human oversight built in.

**Strengths:** Backed by a long track record in training data and model evaluation.; End-to-end coverage from data sourcing through to deployed systems.; Experienced with regulated, classified and safety-critical environments.; Benchmarks and leaderboards give an independent view of model capability.

**Limitations:** No public pricing or self-serve signup - you need a sales conversation to get started.; Enterprise-scale contracting and data operations require real internal commitment.; Overkill for small teams with modest data or evaluation needs.; Some projects involve sensitive government and defence work with strict compliance overhead.

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

## Frequently Asked Questions

### How do Miro and Scale compare in monthly traffic?

Miro has 30,749,206 monthly visits, while Scale has 616,915. Traffic estimates describe audience size, not product quality.

### How do their growth rates compare?

Miro has a month-over-month growth rate of +1.7%; Scale has +12.5%.

### How does pricing compare?

Miro: Freemium, Contact for Pricing. Freemium with three paid paths. Free covers small teams with 3 editable boards, templates, and core formats. Starter runs about $8 per member/month billed yearly with unlimited private boards and 25 AI credits per member. Business is about $20 per member/month billed yearly with workspaces, prototyping, and AI workflows. Enterprise is quoted on request with SSO, governance, and dedicated support. Scale: Contact for Pricing. Contact for pricing. Scale does not publish rates; engagements are scoped through a sales conversation and depend on data volume, services and programme complexity.

## Alternatives

| # | Tool Name | Monthly Visits | MoM Growth Rate | Pricing Model | Summary | Profile (Markdown) |
| :--- | :--- | :--- | :--- | :--- | :--- | :--- |
| 1 | [Roboflow](https://openaitools.app/tool/roboflow) | 1,431,204 | +6.6% | Freemium, Contact for Pricing | Streamlines computer vision dataset annotation and model training, but is less suited for general LLM text tasks. | [.md](https://openaitools.app/tool/roboflow.md) |
| 2 | [Whimsical](https://openaitools.app/tool/whimsical) | 966,895 | -18.7% | Freemium | Stronger focus on structured mind mapping and flowcharting, but lacks Miro's massive template library and enterprise workshop features. | [.md](https://openaitools.app/tool/whimsical.md) |
| 3 | [Labelbox](https://openaitools.app/tool/labelbox) | 762,803 | -22.8% | Contact for Pricing | Focuses heavily on enterprise data labeling and training data curation, similar to Scale's core annotation business. | [.md](https://openaitools.app/tool/labelbox.md) |
| 4 | [Eraser](https://openaitools.app/tool/eraser) | 534,396 | -23.6% | Freemium, Paid, Contact for Pricing | Excels at generating technical architecture diagrams directly from code, but less suited for freeform creative brainstorming. | [.md](https://openaitools.app/tool/eraser.md) |
| 5 | [Boardmix](https://openaitools.app/tool/boardmix-online-whiteboard) | 447,560 | -6.2% | Freemium | Similar collaborative online whiteboard experience with strong AI diagramming, but offers fewer complex enterprise integration options. | [.md](https://openaitools.app/tool/boardmix-online-whiteboard.md) |
| 6 | [SuperAnnotate](https://openaitools.app/tool/super-annotate) | 386,034 | +37.4% | Free Trial, Contact for Pricing | Provides enterprise multimodal annotation and data management tools, but with less emphasis on managed labeling workforces. | [.md](https://openaitools.app/tool/super-annotate.md) |
| 7 | [Flowith](https://openaitools.app/tool/flowith) | 324,679 | -27.3% | Contact for Pricing | Features a spatial visual canvas integrated with multi-model chat agents, but less focused on team workshop facilitation. | [.md](https://openaitools.app/tool/flowith.md) |
| 8 | [Weights & Biases (CoreWeave Forge)](https://openaitools.app/tool/prompts) | 315,624 | -80.2% | Freemium, Contact for Pricing, Free | Track, evaluate, and ship AI models and agents in one connected environment. | [.md](https://openaitools.app/tool/prompts.md) |
| 9 | [Arize AI](https://openaitools.app/tool/arize-com) | 249,028 | +3.2% | Paid, Contact for Pricing | Focuses on post-deployment LLM observability and evaluation rather than training data generation or annotation. | [.md](https://openaitools.app/tool/arize-com.md) |
| 10 | [Encord](https://openaitools.app/tool/encord-com) | 244,204 | +9.4% | Contact for Pricing | Specializes in data infrastructure and annotation specifically tailored for computer vision and physical AI workloads. | [.md](https://openaitools.app/tool/encord-com.md) |

---
Source: https://openaitools.app/compare/miro-vs-scale

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