The partnership will allow sovereign governments and authorised organisations to deploy Google’s geospatial AI models within secure, air-gapped systems networks physically isolated from the internet while using their own sovereign data alongside commercial and satellite imagery.
The integration enables organisations to combine multiple data sources, including proprietary satellite imagery, commercial remote sensing data and national sensor systems to generate detailed geospatial intelligence tailored to operational requirements.
Key applications include the following:
- Monitoring strategic sites and critical infrastructure.
- Detecting anomalies and identifying operational patterns.
- Supporting defence planning and resource allocation.
- Tracking environmental and infrastructure changes.
- Conducting disaster damage assessments and recovery monitoring.
- Producing foundational geospatial maps.
- Improving sensor tasking and collection planning.
The technology will also be embedded into Vantor’s mission applications, starting with its Sentry monitoring platform, enhancing persistent surveillance and maritime domain awareness.
Google’s Earth AI imagery models are trained on vast datasets of satellite and aerial imagery, enabling automated identification of buildings, roads, infrastructure and objects of interest. The models can also assess damage following natural disasters or conflicts and analyse activity patterns over time.
Through the partnership, these models can now be deployed against Vantor’s extensive spatial data archive, which includes high-resolution satellite imagery collected over more than two decades. This archive contains global 2D coverage and detailed 3D mapping of approximately 95 per cent of areas considered strategically significant.
Vantor’s satellite constellation further enhances this capability by revisiting the same location up to 15 times per day, providing frequent updates that enable near real-time monitoring and automated change detection.
Unlike many advanced AI systems that rely on public cloud infrastructure, the integrated Earth AI models can be deployed directly within sovereign government networks, on-premises infrastructure or air-gapped environments.
This allows organisations to train and refine AI models using their own classified or sensitive datasets while maintaining full control over data security and sovereignty.
The Tensorglobe platform enables localised model training, automated data fusion and real-time analytics pipelines capable of detecting emerging threats, monitoring infrastructure and supporting operational decision making.
The integration represents a major advancement in operational geospatial intelligence, particularly for defence, national security, disaster response and critical infrastructure protection.
By combining Google’s AI modelling capabilities with Vantor’s global satellite data and secure deployment architecture, governments and authorised organisations can generate faster, more accurate intelligence while retaining full sovereignty over their data and operational environments.
The partnership also positions Vantor customers to rapidly adopt future improvements to Google’s Earth AI models, ensuring continued access to cutting-edge geospatial AI capabilities without compromising security or operational independence.