# Mappedin vs Scale

Mappedin records 173,962 monthly visits with -28.6% 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 | [Mappedin](https://openaitools.app/tool/mappedin-com) | [Scale](https://openaitools.app/tool/scale) |
| :--- | :--- | :--- |
| Website URL | https://mappedin.com | https://scale.com |
| Categories | AI Map Generator, AI Floor Plan Generator, AI 3D Model Generator | AI Developer Tools, Large Language Models (LLMs), AI Models, AI Agent |
| Pricing Model | Freemium, Contact for Pricing | Contact for Pricing |
| Monthly Visits | 173,962 | 616,915 |
| MoM Growth Rate | -28.6% | +12.5% |
| Primary Market | Canada | United States |
| Direct Visits | 99,387 | 191,408 |
| Review Score | 4.3 | 4.7 |
| Saved Count | 3 | 3 |
| Supported Platforms | Website | Website |

## Mappedin

Mappedin takes the floor plans a venue already owns — CAD, PDF, DWG or BIM files — and turns them into an accurate, geo-referenced indoor map through AI-assisted mapping combined with a hands-on mapping team. Unlike a static directory board, that map stays live: it is connected to building management systems, IoT sensors, BIM and CAD models, cameras and work-order tools so that guest experience, facilities, security and leasing teams all work from the same ground truth.

The product is organised around VenueOS, described as an operating system for buildings, alongside a Maker tool for map creation and SDKs and APIs for web, iOS and Android. Customer-facing uses include step-free turn-by-turn wayfinding across floors and buildings, searchable directories on kiosks and digital signage, and indoor positioning blue dots where the venue supports them. Operational uses include parking pinning, gate throughput monitoring, incident mapping with camera lookup and nearest-officer dispatch, asset and equipment tracking, and leasing analytics.

Mappedin reports over 10 billion square feet of indoor space mapped, 450 million visitors guided and venues in more than 86 countries, with named deployments including Lumen Field, Simon Property Group, Hudson Yards, Los Angeles International Airport, Miami International Airport and Amsterdam Airport Schiphol. It also integrates with workplace tools such as Microsoft Places, Zoom Rooms, TableAir and Yarooms, and states that accessibility is independently evaluated by Level Access against WCAG 2.2 A/AA and EN 301 549.

**Pricing & Plans:** Mappedin is a subscription service priced according to the square footage (or square meters) of indoor space, with scaled pricing for larger multi-building campuses and cities. Contracts are available month-to-month, annual or multi-year, with discounts for longer terms, and separate map pricing exists for technology partners and ISVs embedding Mappedin in their own products. You can sign up and start mapping a space for free, and request a demo; professional map-making services and 3D modelling are available for an additional fee. Enterprise and custom plans require contacting sales for a quote.

- **AI-assisted indoor map production:** Convert existing CAD, DWG, DXF, PDF, PNG or BIM floor plans into accurate, geo-referenced indoor maps in weeks rather than years, with optional hands-on mapping services covering map design, 3D modelling and points of interest.
- **VenueOS live operations platform:** Tie building management systems, IoT sensors, BIM and CAD models, cameras and work-order tools to one live indoor map so operations, security, facilities and guest teams share a single source of truth.
- **Adaptive wayfinding experience:** Deliver searchable directories and turn-by-turn, step-free directions across floors and buildings on the web, in apps, on kiosks and on digital signage, with indoor positioning where supported.
- **SDKs and APIs for developers:** Embed location, maps and navigation into your own web, iOS and Android products through the Map SDK, developer portal and documentation.
- **Security and operations visibility:** Pin incidents on the map, pull up nearby camera feeds, dispatch the closest officer, track equipment such as pumps, beds and wheelchairs, and monitor real-time metrics like gate throughput and concession waits.

**Strengths:** Connects indoor maps to live building systems instead of leaving them as static directories; Covers the full chain from floor plan conversion and 3D modelling to wayfinding, signage, security and analytics; Developer SDKs and APIs for web, iOS and Android allow location to be embedded in existing tools; Accessibility is independently evaluated against WCAG 2.2 A/AA and EN 301 549, with step-free routing support

**Limitations:** Pricing is quote-based and tied to square footage, so costs are not transparent upfront; Mapping quality depends on having reasonably current floor plans to start from; The deepest operational features assume enterprise integrations and generally suit larger venues rather than small businesses

[Profile (Markdown)](https://openaitools.app/tool/mappedin-com.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 Mappedin and Scale compare in monthly traffic?

Mappedin has 173,962 monthly visits, while Scale has 616,915. Traffic estimates describe audience size, not product quality.

### How do their growth rates compare?

Mappedin has a month-over-month growth rate of -28.6%; Scale has +12.5%.

### How does pricing compare?

Mappedin: Freemium, Contact for Pricing. Mappedin is a subscription service priced according to the square footage (or square meters) of indoor space, with scaled pricing for larger multi-building campuses and cities. Contracts are available month-to-month, annual or multi-year, with discounts for longer terms, and separate map pricing exists for technology partners and ISVs embedding Mappedin in their own products. You can sign up and start mapping a space for free, and request a demo; professional map-making services and 3D modelling are available for an additional fee. Enterprise and custom plans require contacting sales for a quote. 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 | [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) |
| 3 | [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) |
| 4 | [DroneDeploy](https://openaitools.app/tool/dronedeploy) | 379,213 | -5.9% | Free Trial, Paid, Contact for Pricing | Enterprise spatial capture and mapping platform, focusing on drones and jobsite tracking rather than indoor wayfinding. | [.md](https://openaitools.app/tool/dronedeploy.md) |
| 5 | [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) |
| 6 | [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) |
| 7 | [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) |
| 8 | [Ultimaps](https://openaitools.app/tool/ultimaps) | 151,723 | -11.3% | Freemium | Turn spreadsheet data into custom choropleth maps and interactive embeds | [.md](https://openaitools.app/tool/ultimaps.md) |
| 9 | [Label Studio](https://openaitools.app/tool/label-studio) | 137,199 | -16.1% | Contact for Pricing, Free | Offers a flexible open-source alternative for custom data labeling and human-in-the-loop annotation pipelines. | [.md](https://openaitools.app/tool/label-studio.md) |
| 10 | [Future AGI](https://openaitools.app/tool/future-agi) | 121,741 | -7.8% | Freemium, Usage-based | Build, simulate, evaluate and monitor self-improving AI agents | [.md](https://openaitools.app/tool/future-agi.md) |

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Source: https://openaitools.app/compare/mappedin-com-vs-scale

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