Harness real-time urban data to make smarter decisions — from traffic flow to infrastructure planning — all in one intelligent platform.
Six critical data types. Six isolated systems. None talking to each other — and all quietly rotting.
Every one of these datasets lives somewhere in your city. But none of them speak to each other — leaving analysts to manually bridge the gaps, week after week.
See how Artix unifies themArtix collapses every fragmented source into a single intelligent layer — so your team can stop cleaning data and start making decisions.
Ready to see your city's data unified in a single live platform?
Four capabilities that make Artix the platform urban teams trust when decisions can't wait.
Everything your city's teams need, in one intelligent platform.
Your questions about our geospatial analysis platform, answered.
Enginex is an AI-powered geospatial analysis platform that turns satellite imagery, sensor data, and urban datasets into actionable intelligence — in minutes. You describe what you want to know about a location, and Enginex handles the rest: pulling the right data sources, running the spatial analysis, and delivering clear insights without any technical setup on your end.
Not at all. Enginex is designed for people who need answers, not people who know how to write spatial queries. You interact in plain language — no Python, no QGIS, no understanding of coordinate reference systems required. If you can describe a location and a question, Enginex can do the rest.
Almost anything location-based. Examples include: "Show me vegetation loss in this region over the last 5 years", "Identify flood-risk zones within 1km of critical infrastructure", "How has urban density changed in this district since 2018?", or "Flag any anomalies in surface temperature around this industrial site." If it can be answered with spatial data, Enginex can tackle it.
Enginex pulls from a broad constellation of sources including Sentinel-1 & 2, Landsat 8 & 9, Planet Labs, Maxar, and MODIS for satellite imagery — alongside OpenStreetMap, government open data portals, IoT sensor networks, and proprietary urban datasets. The platform automatically selects the most appropriate source based on your query's resolution, recency, and coverage requirements.
You receive a structured insight report that includes an AI-written summary of findings, annotated map visualisations, supporting data charts, confidence scores for each finding, and the underlying data available for export in GeoJSON, Shapefile, or CSV format. Everything is designed to be immediately shareable with decision-makers — no post-processing required.
Yes. Enginex supports persistent monitoring — you define a location, a set of conditions to watch for, and a frequency (daily, weekly, or triggered by change detection), and Enginex will alert you automatically when something noteworthy happens. This is particularly useful for infrastructure monitoring, environmental compliance, and urban change detection programmes.
General AI tools like ChatGPT work from text — they have no access to real satellite imagery, live sensor feeds, or spatial datasets, and cannot perform actual geospatial analysis. Enginex is purpose-built for location intelligence: it connects directly to live and historical earth observation data, runs real spatial computations, and produces verified, map-grounded insights. It's the difference between describing a location and actually analysing it.
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Zero code. No GIS expertise required.
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