Robust spatial data viewing 
engine integrated with storage 
and collaboration platform.

Unlimited efficiency, regardless of what device you work on

Dappler Core

Dappler Core is a spatial data visualization engine based. It's cutting edge algorithms allow it to visualise point clouds without limit to their physical and digital size without quality loss to the lowest level of detail. It gives immersive and intuitive user experience regardless of the degree of complexity or the method of data acquisition.
Stand-alone application
Intuitive and immersive user experience
Photorealistic quality of visualisation
Tagging and classification
Measurements functionality (length, surface, volume)
VR goggles support
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Infinite clouds
Dappler Core features advanced spatial data processing algorithms allowing real-time rendering of huge data sets. In pair with an advanced rendering engine it allows users to free-roam through the spatial data with photo realistic quality providing the open-world-like experience.
Measurements (distance, area, volume)
In addition to data visualisation and interpretation, Dappler offers distance/surface/violume measurements that can be done on-the-fly. Functionality is designed to offer intuitive experience even to users without any engineering background or experience from other 3D visualisation applications to work on the clouds.
Tagging / Labeling
Labeling important places, objects grouping or classification is an important feature for spatial data workflows. All of this and more can be achieved using the Tagging functionality in Dappler.
Robust and optimized
The spatial data visualization algorithms have been optimized to offer photorealistic quality even on office-class computers. Navigating the cloud is intuitive and does not require engineering skills or knowledge of other specialized 3D programs.

Dappler Cloud

Dappler Cloud is an online spatial data storage, collaboration and management platform accesible through web browser offering access, sharing and collaboration on spatial data sets functionalities from multiple devices at the same time.
Browser application
Sharing and collaboration
Integrated with the Dappler Core visualization engine
Possibility of individual implementation in a private cloud
Possibility of integration with other data repositories
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Store and manage spatial data
Dappler Cloud uses cloud storage and cloud computing technology to provide online spatial data repository platform with easy access at any location and time.
Easy and safe collaboration
Dappler is using the most flexible and secure cloud computing environment available today to provide safe collaboration. It is compliant with requirements as data locality, protection and confidentiality.
Browser-based application
Access via a web browser allows you to work from any device, any localisation, instantly. No matter where you are, you always have access to your projects.
Visualization over time
The repository offers the possibility of displaying the spatial data of the same object acquired at different times for the purpose of visual comparison.

Dappler Converter

Dappler Converter is a program to control and improve the quality of spatial data. It also enables conversion between the most popular data formats.
Automatic quality control
Generation of QA reports
Adjusting the intensity and RGB
Conversion between formats
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Adjust Intensity / RGB components
Quickly change the color of the intensity in all files (lighten / darken) or save it as an RGB value. Conversion saves the structure in .e57 files so you can further use the data in specialized programs without loss of information.
Convert between popular formats
Converting between popular formats has never been easier.
Subsample data
The converter offers the possibility of reducing the number of points in the cloud while maintaining the desired cloud density and file structure. Due to the technologies and limitations of scanning devices, it is possible to reduce the amount of data by up to 70%.
Automated QA control and reporting
A report containing all the characteristic information for a given data set, such as: the coordinate system, whether it has RGB, what the intensity range is, whether the .e57 file has a structure, and many others. Individual files as well as summary statements for entire projects facilitate the quality control of the data received from or sent to partners, associates and clients.

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