We apply machine learning and deep learning to geospatial data. Using high-resolution satellite imagery, we create training data, train models, and apply them to problems such as object and feature detection and forecasting — turning imagery into automated, scalable analysis.
Beyond imagery, we integrate AI into geospatial workflows so detection, classification and prediction can run as part of your pipelines and platforms rather than as manual, one-off steps.
Who it is for
- Monitoring programmes needing automated detection at scale
- Environmental and carbon projects wanting model-based analysis
- Platforms that need AI built into geospatial workflows
What we do.
The work, what you receive and the data behind it.
Capabilities
- Training-data preparation
- Object & feature detection
- Land-cover classification (ML/DL)
- Change & anomaly detection
- Forecasting models
- AI integration into geospatial pipelines
What you get
- Trained Models
- Model Outputs (Detections, Classifications)
- Training Datasets
- Integrated Workflows
Data we work with
- High-resolution satellite imagery
- Sentinel / Landsat archives
- Client / labelled data
How we work.
5 steps, from the first question to the delivered result.
Why Cartolytic.
Remote-sensing and ML expertise together.
Models trained on real high-resolution imagery.
Built to run in production, not just in a notebook.
Questions about this service.
01What can you detect with ML on imagery?
Objects and features in high-resolution imagery, trained to your target.
02Do you build forecasting models?
Yes — predictive and forecasting models on spatial and temporal data.
03Can models run automatically over time?
Yes — applied over areas/periods and integrated into pipelines.
04Can you integrate AI into our existing geospatial workflow?
Yes — that's a core part of this service.
Other services.
Ready to put your geospatial data to work?
Tell us the area, the decision and the deadline. We reply within 24 hours, from the person who will deliver the work.
Based in Bucharest, working with clients on five continents.