A streamlined no-code lifecycle designed for Geospatial Analysts.
Stop manual labeling of thousands of images. Smart one-click labeling makes annotation fast and effortless, supporting multiple users working simultaneously.
Built for the Analyst
Reach operational reliability in hours. Meta-learning architecture allows you to create trusted profiles with just a handful of training samples.
Sensor Ready
Validated high accuracy on challenging satellite resolutions and diverse sensors (EO) where standard AI fails.
Immediate operational impact. Process vast areas (Thousands of sq km/h) by deploying your profile as a plugin or standalone tool.
Every mission makes the system smarter. Analyst-validated results are instantly fed back into the learning loop, refining the model for terrain, seasonal, and sensor variations.
Operational Integrity:
Full end-to-end autonomy in restricted, air-gapped environments. Your data never leaves your perimeter.
Real-world results achieved by analysts using MetaVI across diverse targets and sensors.
Frequently Asked Questions
Yes. MetaVI is designed to work with geospatial imagery from multiple sources, including satellite, aerial, and other sensor platforms. This allows organizations to build and deploy models across different image providers, resolutions, and collection conditions, improving robustness in real operational environments.
No. MetaVI supports flexible deployment options, including cloud, on-premise, and secure air-gapped environments. Organizations can run the system entirely within their own infrastructure, making it well suited for defense, intelligence, and other security-sensitive use cases.
MetaVI is built to dramatically reduce the amount of training data required. In many cases, effective models can be created from a relatively small number of examples, typically from dozens to a few hundred, depending on the mission. The exact number depends on the target type, image quality, scene complexity, and required operational accuracy. MetaVI accelerates this process through smart labeling, intelligent sample selection, and automated model optimization.
MetaVI is designed for high-throughput processing of large-scale aerial and satellite imagery. The system is built to support parallel computing, allowing processing capacity to scale according to the available hardware and deployment configuration. In practice, the more processing power allocated, the more the system can scale to support larger data volumes and faster turnaround times.
With a standard operational hardware setup, MetaVI can process thousands of square kilometers per hour, while scaling further as additional processing resources are allocated.