# Mappedin vs SuperAnnotate

Mappedin records 173,962 monthly visits with -28.6% month-over-month growth and Freemium, Contact for Pricing pricing. SuperAnnotate records 386,034 monthly visits with +37.4% growth and Free Trial, Contact for Pricing pricing.

| Metric | [Mappedin](https://openaitools.app/tool/mappedin-com) | [SuperAnnotate](https://openaitools.app/tool/super-annotate) |
| :--- | :--- | :--- |
| Website URL | https://mappedin.com | https://www.superannotate.com |
| Categories | AI Map Generator, AI Floor Plan Generator, AI 3D Model Generator | AI Workflow, AI Developer Tools, AI Project Management |
| Pricing Model | Freemium, Contact for Pricing | Free Trial, Contact for Pricing |
| Monthly Visits | 173,962 | 386,034 |
| MoM Growth Rate | -28.6% | +37.4% |
| Primary Market | Canada | United States |
| Direct Visits | 99,387 | 248,258 |
| Review Score | 4.3 | 4.6 |
| Saved Count | 3 | 0 |
| 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)

## SuperAnnotate

SuperAnnotate positions itself as end-to-end AI data infrastructure rather than a single-purpose labeling tool. The core of the product is a highly customizable annotation surface that handles image, video, text, and audio projects in the same workspace, so teams that train multimodal models do not have to stitch together several vendors or build internal review tooling from scratch. Around the editor sit data curation and exploration features, analytics for tracking throughput and inter-annotator agreement, and project management for organizing large distributed labeling workforces.

Beyond the software layer, SuperAnnotate offers an orchestration engine with metered compute hours, plus access to its own data-operations specialists who can run high-volume or unusually complex annotation programs on the customer's behalf. Managed-service elements such as single sign-on, dedicated Slack channels, a named customer success manager, a dedicated solutions engineer, and AI DataOps consulting are gated behind higher tiers, which reflects the enterprise orientation of the platform.

SuperAnnotate is commonly used upstream of model training and fine-tuning, which is why it markets results such as faster annotation cycles and higher model F1 scores. It also supports the data-centric workflows around RLHF, SFT, RAG evaluation, and dataset versioning that modern generative AI teams depend on. Because it handles security, permissions, and auditability at an enterprise grade, it tends to be adopted by organizations that need governance as much as speed.

**Pricing & Plans:** SuperAnnotate publishes three main tiers: Starter, Pro, and Enterprise. Starter is described as an entry point for small projects, Pro targets scaled AI and MLOps workloads and is sold via a demo request, and Enterprise is quoted through sales for well-established, recurring, high-volume programs. Published plan comparison highlights compute orchestration allowances of roughly 1K compute hours on Starter, 2.5K on Pro, and 10K on Enterprise, with SSO, dedicated Slack channels, a customer success manager, a solutions engineer, and AI DataOps consulting reserved for higher tiers. Exact prices are not listed publicly, so you should contact the vendor for a quote.

- **Customizable multimodal editor:** One configurable annotation surface for image, video, text, and audio projects, so multimodal datasets can be labeled without switching tools.
- **Data curation and exploration:** Search, filter, and inspect datasets to find the examples that will most improve a model, then route them into targeted annotation or review queues.
- **Analytics and insights:** Dashboards for annotation volume, reviewer agreement, and project progress, plus advanced analytics on upper tiers for program-level reporting.
- **Compute orchestration:** Metered orchestration capacity for running annotation, evaluation, and data-processing workloads, scaled by plan from roughly 1K to 10K compute hours.
- **Managed Data Operations:** Optional access to SuperAnnotate's own annotation experts and AI DataOps consultants to run large or specialized data programs end to end.

**Strengths:** Unified editor removes the need to maintain separate tools per modality; Rich project management and quality analytics suited to large distributed teams; Enterprise-grade governance features such as SSO and dedicated support channels; Managed data-operations services let you outsource complex or high-volume programs

**Limitations:** No public list price, so budgeting requires a sales conversation; Advanced analytics, SSO, and dedicated support are locked to higher tiers; The breadth of features can be heavy for individuals or very small teams; Compute orchestration capacity is metered and may require planning for large jobs

[Profile (Markdown)](https://openaitools.app/tool/super-annotate.md)

## Frequently Asked Questions

### How do Mappedin and SuperAnnotate compare in monthly traffic?

Mappedin has 173,962 monthly visits, while SuperAnnotate has 386,034. 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%; SuperAnnotate has +37.4%.

### 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. SuperAnnotate: Free Trial, Contact for Pricing. SuperAnnotate publishes three main tiers: Starter, Pro, and Enterprise. Starter is described as an entry point for small projects, Pro targets scaled AI and MLOps workloads and is sold via a demo request, and Enterprise is quoted through sales for well-established, recurring, high-volume programs. Published plan comparison highlights compute orchestration allowances of roughly 1K compute hours on Starter, 2.5K on Pro, and 10K on Enterprise, with SSO, dedicated Slack channels, a customer success manager, a solutions engineer, and AI DataOps consulting reserved for higher tiers. Exact prices are not listed publicly, so you should contact the vendor for a quote.

## Alternatives

| # | Tool Name | Monthly Visits | MoM Growth Rate | Pricing Model | Summary | Profile (Markdown) |
| :--- | :--- | :--- | :--- | :--- | :--- | :--- |
| 1 | [Labelbox](https://openaitools.app/tool/labelbox) | 762,803 | -22.8% | Contact for Pricing | Strong enterprise data labeling and agentic automation, but offers a distinct collaborative interface and pricing structure. | [.md](https://openaitools.app/tool/labelbox.md) |
| 2 | [Appen](https://openaitools.app/tool/appen-com) | 665,840 | +0.2% | Contact for Pricing | Extensive human-validated training datasets and alignment services, but lacks SuperAnnotate's self-serve software platform flexibility. | [.md](https://openaitools.app/tool/appen-com.md) |
| 3 | [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) |
| 4 | [Weights & Biases (CoreWeave Forge)](https://openaitools.app/tool/prompts) | 315,624 | -80.2% | Freemium, Contact for Pricing, Free | Exceptional for ML experiment tracking and LLM evaluation, but does not provide traditional computer vision data labeling environments. | [.md](https://openaitools.app/tool/prompts.md) |
| 5 | [Encord](https://openaitools.app/tool/encord-com) | 244,204 | +9.4% | Contact for Pricing | Excellent multimodal data infrastructure for computer vision, but lacks some of SuperAnnotate's broader enterprise project management tools. | [.md](https://openaitools.app/tool/encord-com.md) |
| 6 | [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) |
| 7 | [Defined.ai](https://openaitools.app/tool/definedcrowd-com) | 146,251 | -21% | Contact for Pricing | Strong enterprise data collection and annotation services, but focuses more on managed datasets than self-serve tooling. | [.md](https://openaitools.app/tool/definedcrowd-com.md) |
| 8 | [Label Studio](https://openaitools.app/tool/label-studio) | 137,199 | -16.1% | Contact for Pricing, Free | Powerful open-source data labeling with deep customization, but requires self-hosting and lacks out-of-the-box managed enterprise workflows. | [.md](https://openaitools.app/tool/label-studio.md) |
| 9 | [Voxel51](https://openaitools.app/tool/voxel51-com) | 117,715 | -8.2% | Contact for Pricing | Superior visual dataset search and curation for computer vision, but less focused on manual text and multimodal annotation. | [.md](https://openaitools.app/tool/voxel51-com.md) |
| 10 | [TestFit](https://openaitools.app/tool/testfit) | 56,871 | -14.9% | Paid, Contact for Pricing | Generates real-estate site plans and spatial layouts rapidly, but lacks Mappedin's dedicated enterprise indoor wayfinding SDKs. | [.md](https://openaitools.app/tool/testfit.md) |

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

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