Meet MapScale®
The world’s most experienced mapper
Built on billions of square feet of real-world mapping experience.
See MapScale® at Work in Real-World Deployments
Discover how our clients convert and deploy floor plans across hundreds of buildings in days instead of months.
Purpose-built AI for spatial understanding
MapScale® combines computer vision, multimodal LLMs and an agentic AI workflow to transform architectural CAD files into interactive digital maps.
Data Ingestion
Reads DWG, DXF and vector PDF files.
Source processing extracts vector geometry, layers, text and metadata – ready for computer vision.
Detection
Detects walls, doors, rooms, furniture and POIs.
Computer vision converts floor-plan linework and visual features into spatial geometry.
Classification
Interprets geometry, text and visual clues together.
Multimodal LLMs combine geometry, embedded text, visual signals and building context to classify each space.
Identification
Identifies each space using its name, ID and annotations.
Multimodal LLMs read labels and annotations, then match them to the correct classified space.
Map Generation
Builds the interactive 3D map with accuracy.
An agentic AI workflow coordinates every stage and prepares the map for review in Pointr Cloud.
Measured on real floor plans
MapScale® v10.0 was evaluated across workplace, education, hospitality, and healthcare floor plans using three core mapping tasks:
MapScale® v10.0
ChatGPT-4o
Gemma 3
Llama 3.2
MapScale® v10.0
ChatGPT-4o
Gemma 3
Llama 3.2
MapScale® v10.0
ChatGPT-4o
Gemma 3
Llama 3.2Results from MapScale® v10.0 across 19 real-world floor plans.
* Detection was only evaluated for MapScale®, as the general-purpose models tested do not support geometry detection.
Get to know MapScale®
An epic leap for indoor mapping
With MapScale®, there's no time-consuming delays or expensive surveys – it can get to work straight away:
- Generate digital maps in minutes, not weeks: the manual mapping process has cost countless companies huge amounts of time. MapScale® is here to solve that problem.
- No physical site visits or assessments required: MapScale® works purely from the mapping files that you provide, eliminating the need for in-person surveys.
MapScale® automates your digital maps' digitization process, accelerating your mapping product process with:
- Auto room/furniture identification: MapScale® automatically identifies rooms, furniture and building outlines via machine learning modules – and it improves with every map digitized.
- Scheduled auto-update via API: MapScale® retrieves your raw CAD files from a repository (on schedule or upon file changes) and converts them into interactive, beautifully designed digital indoor maps.
We wanted to empower MapScale® users to not only save time and money on indoor mapping, but to control their maps the way they need to.
- Pointr Cloud is a user-friendly map CMS, enabling you to manually adjust map details, and add, edit or remove map points of interest.
- Open for integration, allowing you to source 3rd-party data directly via the Pointr Cloud API.
Pointr's smart auto-routing enables wayfinding the moment MapScale® converts your floor plans into interactive digital maps. Pointr auto-routing supports:
- Automatic path generation to guide users through locations via automatically-identified paths.
- Turn-by-turn directions to help users navigate complex layouts, with re-routing when a user goes off path.
The MapScale® REST API can be called anytime to transfer map outputs into Pointr Cloud or your own mapping platforms.
- Submit and track map jobs: send floor plans, follow every job and get notified via webhooks the moment a map is ready for publishing.
- Update map content or integrate data from 3rd-party sources into Pointr Maps® (e.g. occupancy data, asset locations) via Pointr's SDKs.
MapScale® is built on open standards, so your maps work wherever you need them.
- Broad file support: MapScale® accepts DWG, DXF and vector PDF floor plans.
- GeoJSON & IMDF output: maps export as GeoJSON, with IMDF conversion for Apple Maps, Microsoft Places and Google Maps.

NetworkBeacons
Provide essential information about the building such as type and name.
No levels added Level 1 · First floor

NetworkBeacons

NetworkBeacons
Success Stories
AI-powered maps at The Home Depot
- Creating and maintaining thousands of store maps automatically
- Smart auto-routing enables shoppers to navigate
- AI-built maps
2300
Stores
500
million
Square feet mapped
Success Stories
Solving one of the US's largest retailers' mapping headache
- The retailer was manually creating and updating maps by hand in image editing software
- Process took several months per cycle
- Using MapScale®, the retailer was able to update every store map on a daily cycle
2000
Stores
15
Minutes
to update maps
MapScale®
questions, answered
Everything you need to know about AI-generated indoor maps.
Simply put, MapScale® takes basic 2D architectural files (most commonly CAD) and, through our proprietary AI model and patented indoor mapping technology, transforms them into fully-fledged, interactive 3D maps – complete with points of interest and labels, ready for use in an app, a kiosk, a browser or through Pointr Express®.
MapScale® leverages AI in two core ways:
- When the CAD file is ingested, AI trained on the thousands of maps we have created works out which architectural features equal which map features – from four walls and a door meaning a room, to telling apart many room types, interpreting open areas, identifying stairwells and elevators, and leaving out details that don't belong on the map.
- Once the map is created, MapScale®'s Large Language Model (LLM) parses the text in the CAD file and the map itself to interpret, contextualise and categorise rooms, areas and points of interest – using the building type to decide, for example, that a room is a waiting room in a healthcare facility but a meeting room in a workplace.
The more MapScale® is used and corrected by human oversight, the more accurate it becomes. For more on AI mapping, check out this post.
MapScale® was born when a major US retailer told us their maps for thousands of stores were being created and updated one by one in image-editing software – it could take weeks or months to refresh an outdated map.
Enterprises need a solution that scales. AI lets us apply years of indoor-mapping expertise to automate the work that used to take people the most time – building the map from the original file, then tagging room types and building features.
MapScale® detects map features with 95% consistency, but edge cases remain – such as unfamiliar features or building types it hasn't seen often. That's why it uses a traffic-light system whenever a map is updated with a new CAD file, alerting you if a large part of the map has changed (for example, if the wrong file was uploaded).
Some maps also need a few human finishing touches, like logos or opening hours on a restaurant's listing. When a new file is uploaded, MapScale® remembers those human additions and keeps them.
No two maps are the same, so there's no single figure – but at scale there's no comparison. MapScale® can update hundreds of maps in a matter of minutes, work that could take a person days.
We believe MapScale® is one of a kind, with no direct competitor. We have, however, compared its ability to classify and identify mapping features with LLMs such as ChatGPT – the results are published in our AI mapping benchmark.
The life of MapScale®
Three short films on where MapScale® came from and where it has been since.
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Chapter 01 · Where it began01 1:25
How was MapScale® born?
The story behind MapScale®. From one retailer's map-update headache to AI that maps buildings in minutes.
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Chapter 02 · Back to school02 0:55
MapScale® at Kindergarten!
What happens when MapScale® goes to a kindergarten? Watch and find out.
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Chapter 03 · A trip to the museum03 1:24
MapScale® at Mapping Museum!
MapScale® pays a visit to the mapping museum – centuries of map-making meet AI.
MapScale® is the only solution that scales to enterprise needs using AI mapping
Webinar
Introducing the New MapScale® model - Galileo
Join a 35-minute session to explore our newest model, Galileo, and see a live demo in action.
Guide
AI for the Built World webinar
Join Google, Mapbox, Microsoft, and Pointr for an interactive discussion on how AI mapping is changing the paradigm.
Video
Indoor Mapping - The Complete Guide
The complete guide to indoor mapping, covering everything from the basics, to the commercial considerations, the mapping process, and more.


