Classification platform for point clouds and individual 3D AI services
Most data, from financial transactions and social media posts to weather records and satellite imagery, has a spatial component. Many real-world problems are based on a specific geographical context. Supper & Supper's Geo AI combines the potential of the location and spatial connections to create cutting-edge AI solutions.
For this purpose, customised AI solutions are developed from the latest developments in the fields of neural networks and machine learning. This includes tasks such as automatic image recognition and segmentation of drone or satellite imagery, space-time analysis, and predictions based on geo-referenced sensor data, such as object recognition and segmentation of 3D point clouds.
From one of these solutions, Supper & Supper has now spawned a spin-off called Pointly – turning a technical idea into a successful startup. Pointly specializes in 3D point cloud solutions and provides a point cloud classification platform for fast and easy-to-use training data generation.
Complementing the classification platform, Pointly offers services around 3D point cloud analysis. Customers can get customised solutions with full support, from proof of concept to highly scalable applications. In addition, they can benefit from the long-standing expertise of the Supper & Supper data scientists team, as the two companies remain in close contact.
The idea for Pointly was born at a geo trade fair when Stefanie Supper (founder and CEO of Supper & Supper and Pointly) saw the many impressive point clouds that companies were presenting at their booths. Since her company had already implemented a wide variety of AI use cases for 2D data, the thought occurred to her: "Can't AI be applied to 3D data as well?"
She discussed this idea with her team and they determined the following: point clouds require analysis to provide valuable information about contained objects and spatial properties. Advances in neural network architectures make it possible to process 3D data directly, allowing the analytical capabilities of Deep Learning to be combined with the information richness of 3D point clouds.
Promotion of the development of Pointly's classification methods by BMWi
The development of Pointly's core classification methods has been supported by the German Federal Ministry for Economic Affairs and Energy (BMWi) through the ZIM (Central Innovation Programme for SMEs). This funding enabled the research and development of novel deep learning approaches for 3D point cloud classification that form the technical foundation of the Pointly platform.
Key elements of the professional deployment of the SaaS Pointly
The Pointly SaaS platform combines several key technical capabilities:
- Automated classification of 3D point clouds using deep learning models trained on domain-specific datasets
- Training data generation tools that allow customers to efficiently annotate and label their own point cloud data
- Scalable cloud processing that handles large point cloud datasets from LiDAR scanners, drones, and mobile mapping systems
- API integration enabling seamless connectivity with existing GIS and data processing workflows
Visit pointly.ai to learn more about the platform and request a demo.
