With the application we have developed, any citizen can easily report a problem detected on roads or public spaces—whether it’s a pothole, a damaged sign, or a dangerous obstacle. The process is simple: just open the map on your phone, mark the exact location of the issue, and submit your report.
When every minute counts, Ipsilum transforms maps and connected devices into effective decisions. From natural disasters to urban crises, traditional GIS platforms are often too slow, complex, or centralized. Ipsilum changes that, offering a cloud-native, intuitive, and distributed platform where any actor—citizen, field operator, or institution—can collaborate in real time.
In the world of Location Intelligence, time is more than just a variable — it's the new axis for decisions in mobility, logistics, emergency services, retail and public planning. In this article, we explore how Ipsilum reinvents geospatial analysis with its serverless, cloud-native, browser-first architecture — enabling instant isochrone analysis with a single click.
Technical post. This series explains how we manage information and processes in Ipsilum in a way that’s accessible for non-expert users. Our goal is to make life easier for people who don’t need to know what Jupyter is—or how a geospatial database works. We want them to be able to run advanced analytics with the same ease as checking a map or filling out a form. That simple. That powerful.
Technical post. This series explains how we manage information and processes in Ipsilum in a way that’s accessible for non-expert users. Our goal is to make life easier for people who don’t need to know what Jupyter is—or how a geospatial database works. We want them to be able to run advanced analytics with the same ease as checking a map or filling out a form. That simple. That powerful.
We are witnessing a turning point in how geospatial information is managed and used. Traditional models—built around static systems, local servers, and isolated datasets—are rapidly becoming obsolete. The future lies in browser-based computation, cloud-native architectures, real-time data fusion, and edge-based intelligence, even in disconnected environments.
We are witnessing a fundamental shift in how geospatial information is managed and used. Traditional models - based on static systems, local servers, and isolated files - are no longer sufficient. The future lies in browser-based computation, cloud-native architectures, real-time data fusion, and edge-based intelligence, even offline. Organizations across civil, emergency, and security domains need more than visualizations - they need the ability to act, analyze, and adapt in real time, integrating geospatial context into every decision. Today’s transformation is driven by a few key principles:
