99.3%
Peak recall rate
Few
Samples for training
1.5m
GSD Supported
Hours
Model build time
The Challenge
Data Overload
Modern battlefields generate terabytes of imagery every hour. Analysts are drowning in pixels, struggling to identify small targets across vast territories or detecting changes in low-resolution data.
Identifying targets in challenging resolutions.
Limited training examples for rare or new threats.
Need for rapid deployment without data-science expertise.
MetaVI
The Analyst's Superpower
No-code AI designed specifically for GEOINT experts. If you can see it, you can train it.
Operational in Hours
Build and deploy mission-ready object detection profiles in a single afternoon. Our no-code environment allows analysts to bypass months of data science cycles.
Small Data, High Precision
Achieve superior accuracy using a fraction of the training examples required by traditional ML. Ideal for rare targets and emerging battlefield threats.
Tactical-Grade Performance
Field-proven results with up to 99.3% Recall. Our meta-learning ensemble architecture ensures your mission objectives are met with zero compromise.
Field-Proven Benchmarks
Actual performance metrics derived from real-world intelligence scenarios.
Helicopters
Rapid identification of air assets in airfield and tactical environments.
Recall Rate
99.3%
- Created using only 1,403 training examples
- WV02/WV03 (30-50cm GSD)
- Performance: 0.096 FA/Sqkm
Maritime Vessels
Deep sea and coastal monitoring for tactical maritime surveillance.
Recall Rate
95.8%
- Optimized for 1.5m low-resolution data
- Multi-scale frigate and boat detection
Land Assets (MBT)
Precision classification of armored vehicles and land infrastructure.
Recall Rate
97.2%
- Trained on 50cm & 70cm GSD datasets
- Extreme environmental resilience
- High accuracy on rare military targets