# Automapp Cloud - **Website:** - **Primary alias:** `automapp.cl` - **Founded:** 2015 - **Employees:** 11+ - **Location:** Santiago, Santiago Metropolitan, Chile - **Company kind:** PRIVATELY HELD ## Description Automapp Cloud is the ultimate online visual inspection platform, powered by Artificial Intelligence (AI), that allows you to upload your photographs, thermography, and LiDAR files for massive data evaluation captured by drones or mobile equipment. It is a comprehensive solution for visual inspection management, allowing you to capture, analyze, and report massive data from georeferenced assets in one place. With a 14-day trial, Automapp Cloud automates your inspections with AI, saving you time and increasing your efficiency. By integrating AI into a visual inspection platform, it significantly improves the accuracy, speed, and efficiency of your inspections, resulting in time and resource savings. The platform includes robust AI models for automated detection and allows you to train your models with your own data. It provides actionable insights, visible on a map, and generates actionable reports. With GPS, LiDAR, and RGB tools, you can manage massive data, locate your assets, and efficiently prioritize findings for timely action. Automapp Cloud offers an effective and efficient solution for visual inspection focused on assets, allowing companies to associate images with specific assets and their properties. This functionality facilitates the simultaneous and organized inspection and maintenance of hundreds of assets. Thanks to its ability to easily associate and analyze visual information, Automapp Cloud provides users with a detailed understanding of their assets, ensuring more accurate, efficient, and cost-effective asset management. This platform is the key to optimizing the inspection process and improving asset maintenance decision-making. Designed for the complete visual inspection cycle, Automapp Cloud is a comprehensive platform that combines efficiency and effectiveness to complete the entire visual inspection cycle, from capture to post-evaluation maintenance. By integrating georeferenced data and AI-based automation, it improves decision-making, optimizes inspection processes, and ensures proper asset management. This unified solution is essential for reducing operating costs and ensuring long-term asset safety and reliability. Automapp Cloud also offers additional analysis and geoservices, provided by a team of expert electrical engineers, risk prevention specialists, and surveyors, who are ready to assess a wide variety of projects upon request. From electrical inspections to operational safety and geoservices such as LiDAR analysis and contour curves, the platform is equipped to handle diverse project needs. To take your visual inspections to the next level, request a demonstration from Automapp Cloud's expert team. Contact them by completing the form or sending an email to info@automapp.cloud. Automapp Cloud is a product of Ecodrones Chile SpA. ## Industries - 🏭 Energy Industry _(under Heavy Industry and Engineering)_ - 🏭 Heavy Industry and Engineering ## Links - [youtube](https://youtube.com/channel/UCwoXaEh5WFTAFF02dThZXRA) - [instagram](https://instagram.com/automapp.cloud) - [linkedin](https://linkedin.com/company/automapp-cloud) - [facebook](https://facebook.com/automapp.cloud) ## Logos & icons - logo _(primary)_ — PNG — [download](https://cdn.brandfetch.io/idw_tYm2SA/w/1300/h/198/theme/dark/logo.png?c=1bxid64Mup7aczewSAYMX&t=1768762144484) - icon _(primary)_ — JPEG — [download](https://cdn.brandfetch.io/idw_tYm2SA/w/100/h/100/theme/dark/icon.jpeg?c=1bxid64Mup7aczewSAYMX&t=1778783639534) ## Colors | Name | Hex | Theme | | --- | --- | --- | | Ebony | #0f172a | dark | | Zest | #e67e22 | light | | Astral | #3570b7 | accent | ## Fonts - var(--bs-font-sans-serif) — asset _(custom)_ - Arial — asset _(custom)_ ## Imagery - banner _(primary)_ — JPEG — [download](https://cdn.brandfetch.io/idw_tYm2SA/w/200/h/104/idzlDu6k-N.jpeg?c=1bxid64Mup7aczewSAYMX&t=1778783639610) --- _Source: _ _See [/llms.txt](/llms.txt) for a full list of agent-readable pages, and [/auth.md](/auth.md) for how agents authenticate._