AI-powered 3D Point Cloud Classification
and Analysis.

AI-powered 3D Point Cloud Classification and Analysis
Pointly enables the automated classification of large-scale point clouds using artificial intelligence, turning raw data into structured information.

Centralized Cloud-Platform for Point Cloud Management
Easily store, manage, and structure your point cloud data in one system.

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This is POINTLY

Pointly is a smart, cloud-based B2B point cloud management solution that allows fast and easy classification of large 3D point cloud data.

Our innovative AI techniques enable efficient automatic as well as advanced manual classification in 3D point clouds – making this process faster and more precise for you than ever before. An intuitive toolset allows for easy vectorization to draw precise 3D models.

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Pointly's Key Features.

Pointly simplifies and streamlines working with point clouds by combining classification and vectorization powered by AI in a user-friendly, cloud-based point cloud management platform.

Standard Classifiers (Pre-trained AI Models)

AI models for automatic classification of 3D point clouds, pre-trained for common use cases. All platform users have access to them.

> see more

Custom AI Models

Have a specific use case? We develop tailored AI models for your project. Get in touch with us at sales@pointly.ai

> read the use case

Point Cloud Management System

The Pointly platform is a cloud-based system for managing and organizing your point cloud data. It serves as a central hub for all your point clouds.

Easily share projects within your team thanks to a user-friendly cloud environment.

> check out our video tutorials

Tools for manual classification

In addition to automatic classification, the platform provides all the tools needed for manual point cloud annotation. The intuitive tools enable fast and efficient manual classification directly within the platform.

> check out our video tutorials

Tools for manual vectorization

In addition to automatic classification, the platform provides all the tools needed for manual point cloud annotation. The intuitive tools enable fast and efficient manual classification directly within the platform.

> check out our video tutorials

More Benefits.

API & On-Premise Classification: Utilize our classifiers via an API. This way you can integrate classification models into external workflows and platforms. With the “Pointly Box” you can also get the classifier as a custom software package that can be run locally.

Collaboration: Share projects with your team and clients from anywhere in the world. Add tags and annotations to the files directly in the point cloud viewer.

Secure Cloud Processing: Your data is safe with us. We protect your information whether in storage or transit.

Scalability: The platform is designed to handle large-scale point cloud data. As more data is uploaded, Pointly dynamically starts additional machines to ensure efficient parallel processing even during peak demand. This way, you will never run into processing bottlenecks.

Point Cloud Standard Classifiers.

Pointly offers several Point Cloud Standard Classifiers for various data types and use cases.

Your simple start.

Request a demo of the Pointly platform now.
We’re ready to show you just how easy it is.

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Pointly GmbH has proven to be a valuable partner in our project to create a highly accurate 3D map, which serves as a foundation for the implementation of fully automated driving systems at Digitale Schiene Deutschland, Deutsche Bahn AG. Despite challenging data conditions, Pointly delivered impressive results with their AI-based classification more quickly than anticipated.

Their deep understanding of our needs and goals, as well as their ability to tackle complex challenges with creative and effective solutions, was remarkable. The collaboration was marked by professional and friendly engagement, with communication always open and responsive. Pointly has exceeded our expectations, laid a solid foundation for the further development of our product, and is undoubtedly worthy of recommendation.

Alexander Pfitzner

Deutsche Bahn AG, Digitale Schiene Deutschland

Pointly was a level up for our manual point cloud annotation experience. We have large amounts of point clouds to be manually annotated and were struggling with this effort in the past, taking months for several point clouds to be annotated. With the Pointly platform we not only received very professional, fast and accurate annotation services, but also had a huge productivity boost on our side to review and validate the annotation results.
Key game changer option is to collaborate with annotators by tagging and commenting on point clouds directly in the 3D view. It solved the issue of endless slides with screenshots and multiple rounds of verifications. It was a pleasure to work with the team!

Martynas Kulvietis

Engineering Manager
GeoSpatial Feature Extraction Solutions,
Trimble Inc.

City of Helsinki aims to be carbon neutral by 2030 and it is adapting to the changing climate. An important part of this challenge is to preserve our green areas and trees in the rapidly growing city. This can be monitored through aerial survey data, which Helsinki has collected annually for years. The classification of the original point cloud data was not good enough, but with Pointly Services we got improved cluster based classification of the vegetation classes. Pointly delivered very good & reliable results with AI-classification in just a few weeks. In comparison, a manual re-classification would have taken more than six months.

Finally, we could do different vegetation analysis with the data, for example a forest canopy analysis. We are extremely happy with the re-classification results and friendly & fast service of Pointly!

Suvi Uotila / MSc (Geoinformatics)

Team leader at GIS center, Urban Environment Division / City of Helsinki

The digital twin is a central component of Smart City Munich. Through the annual collection of city-wide aerial survey data, diverse use cases in areas such as climate protection, mobility and integrated urban development can be processed. Pointly supported us in taking this project further by training a custom classifier for our latest laser scan dataset. With this classifier, a fully automated classification for the entire city of Munich was realized in a very short time.

The trained model not only added a lot of information to the current dataset, but also provided a solid basis for applying the model to future aerial surveys.

Johannes Weber

Landeshauptstadt München, Kommunalreferat GeodatenService, Zentrale Luftbildstelle

Working with Pointly has fundamentally changed the way we process our coastal survey data. Pointly's team has developed a custom AI workflow tailored to our unique coastal environment datasets, allowing us to automatically extract a precise ground model and to classify key features such as vegetation, seawalls and other coastal infrastructure.

What used to be a cumbersome process, taking days of manual finetuning for the classifications can now be done in a fraction of the time - with higher consistency and greater accuracy.

The collaboration was exceptionally smooth. Pointly didn't act like a black box - they kept us in the loop throughout development, communicating progress and discussing potential risks transparently. We can confidently say that the results have exceeded our expectations. We look forward to further exploring how this technology can improve our coastal monitoring data workflow.

Dan Amos

Worthing Borough Council, Coastal Cell 4d Data Analyst
Project Manager for the Regional Coastal Monitoring Programme

“Thanks to the developed 3D Deep Learning based point cloud classification by Pointly Services we are now able to classify ground points with higher accuracy than before, leading to more precise elevation models. Pointly can detect additional objects like powerlines and vehicles for us which allows to filter for specific changes. Recurring tasks such as the inventory of georeferenced objects and the recording of terrain changes become easier and more efficient.

What stands out the most to us is Pointly’s adaptability – the new approach can learn continuously. Thus, any manual correction to the automatic classification (if necessary at all) improves the process for future applications.”

Dipl. Ing. Andreas Schlienkamp

Group Leader Remote Sensing at RAG Aktiengesellschaft

“Modern surveying technologies (laser scanning, drone flights etc.) allow the recording of high-precision 3D point clouds from existing construction sites. With the help of this data and by using Pointly, construction sites can be better organized and processes can be monitored and improved.”