We apply artificial intelligence to transform the capture, processing and exploitation of data in civil engineering, surveying and construction projects.
At Aplitop, artificial intelligence is part of a strategic innovation line aimed at transforming the way data is captured, processed and exploited in civil engineering, surveying and construction projects.
The exponential growth of data capture through laser scanners, photogrammetry and mobile systems has led to large volumes of information in the form of point clouds. This context raises a key challenge: turning that data into useful information in an efficient and automated way. Today, much of this process still requires manual intervention, which limits productivity and the scalability of projects.
Our main line of work in artificial intelligence focuses on the development of advanced point cloud segmentation and classification models.
Unlike generic solutions, we are designing different models tailored to specific scenarios (urban, rural, indoor environments, power lines, etc.), which significantly improves the accuracy and robustness of the results.
The goal is to automate tasks such as:
This approach is already being progressively integrated into tools such as tcp PointCloud Editor, where AI enables more accurate and efficient segmentation of complex scenes.
As a next step, we are evolving these models toward cloud processing, which will allow us to:
This functionality represents a key shift toward a more flexible, scalable architecture aligned with current sector needs.
Beyond point cloud processing, we are working on new artificial intelligence applications that will expand the capabilities of our solutions.
We are developing an assistant based on language models that will allow users to ask questions, resolve incidents or access technical documentation in a natural way. These systems, based on generative AI, allow users to interact with large amounts of information in an efficient and contextual way.
One of the most innovative lines is the development of an MCP (Model Context Protocol) that will allow users to interact with tcpMDT through natural language. This opens up new ways of working where the user can run complex queries without technical commands, simplifying software use and boosting productivity.
We are researching computer vision techniques for the automatic detection and extraction of elements from images (photographs, orthophotos, etc.). These technologies, based on deep learning, can recognise patterns and objects in visual data, expanding the possibilities for automation in the surveying workflow.
Commitment to innovation
Artificial intelligence is one of the most transformative technologies today, capable of learning from data, recognising patterns and automating complex tasks. At Aplitop, we are committed to its practical application in the sector, developing solutions that deliver real value to professionals.
Our commitment to R&D&i drives us to keep exploring new ways to integrate artificial intelligence into our products, with the goal of improving the efficiency, accuracy and usability of the tools used in surveying and engineering.