Kili puts your experts on satellite, aerial and drone imagery in its original projection, scores where they disagree with Consensus, and keeps every label version. One platform for expert-in-the-loop AI evaluation, post-training, and geospatial data annotation.
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Analysts make the right call because they see what surrounds each object. Images keep their geo-coordinates, base maps and WMS/WMTS layers add context, and band composites or indices such as NDVI show what RGB hides. Labels export as GeoJSON, ready for the GIS tools your team already uses.
Analysts spend their time deciding, not waiting for scenes to load or hunting for objects. Cloud-Optimized GeoTIFFs stream as dynamic tiles with no downsampling, so large orthomosaics and satellite scenes open at full resolution, and a mini-map with jump-to-object keeps attention on the target.
Sensitive imagery stays on infrastructure you control, and no label change is lost. Run Kili on your own Kubernetes, with no internet access needed after installation. Roles, Google or GitHub single sign-on and MFA control who works on what, and every label version keeps its author and date, never overwritten.
Speak to our team for a free 14-day evaluation.
Kili Technology is a complete data suite that supports all data types and handles specialized formats for domain-specific requirements.
Customer stories from the programs that put this to work — with the numbers behind them.
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Stay up to date with fresh content from our team — tutorials, use cases, and ideas to help you train AI/ML models better.
Got questions about Kili Technology? Check out our FAQ. If you can't find it in this list, drop a question for our team.
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