Redesign of Interface and User Experience
In this version, we undertook a deep redesign in several areas of the platform, focusing on optimizing both navigation and interaction, and offering a more modern, consistent, and intuitive visual experience.
Redesign of Menus: We completely revamped the map menu, the main application menu, and the side menu, making them more agile, clear, and intuitive for quick access to all main functionalities. Now, the objects menu presents two distinct tabs: one for graphics and another for new interactive elements, all organized by categories to facilitate their location and management.
New Interactive Elements: We introduced interactive buttons that allow easy navigation between views and KPIs within the 3D environment, enhancing the exploration experience. Additionally, we converted the old URL-type KPIs into new interactive elements with a more intuitive and manageable panel interface.
Hotspots: We added the ability to hide information tables using hotspots that display detailed characteristics of objects in the environment—such as technical sheets of machinery—or other relevant data that do not need to be permanently in the scene.
Complete Review of Visualizations: We redesigned common features of the various visualizations to provide a more coherent and uniform experience across all available types of charts.


Improvements in the Visualization Library
We have incorporated new configuration features in our visualization library:
Configuration for bars with circles and ranges.
Full support for grouped charts, tables, and bars with circles via MQTT.
Display of lists and statuses based on dataset, for more flexible and dynamic data management. In addition, we improved the visual representation of lists and tables, optimizing colors, iconography, and readability.
We also made specific improvements in correcting legends, animations, and hover effects, enhancing the quality of interaction and visualization.

New ChatGPT Assistant Module
We launched a new ChatGPT assistant module, which expands the conversational capabilities of the platform. This module allows integrating multiple personalized assistants, related to the same location through tokens. Thanks to this integration, it is now possible to assign different assistants to different contexts or work areas, adapting them to the specific needs of each user or scenario. With Markdown support to enrich message presentation with rich formatting. The design includes an optimized history panel, efficient loading of old conversations, and management of active sessions, ensuring a smooth and powerful chat experience.

Performance and Stability Improvements
This version includes key optimizations that significantly improve the overall performance of the platform:
We accelerated the initialization of KPIs and the rendering of graphics.
We strengthened error handling during data loading.
We adjusted the camera movement speed for more precise navigation.
We resolved issues in the visualization of 3D elements and in the opening of IFC panels.
We ensured the correct persistence of configurations in hotspots and location settings.
All this contributes to a more agile, robust, and reliable platform, reducing loading times and improving overall stability.
Bug Fixes and Hotfixes
We resolved a long list of bugs affecting stability and user experience:
Fixed failures in the visualization of legends, text charts, and line charts in the KPIs.
We adjusted the management of the incident module, the integrated browser, and the file explorer to ensure correct and uninterrupted operation.
We resolved rendering issues in multiple percentage charts and line charts, including zoom adjustments, tooltips, and image sizes while exploring files.