TECHNOLOGY

By fusing geotechnical data with satellite-provided InSAR images and advanced machine learning capabilities, we make sense of WHY the ground deformation occurs, not just where and how.  In contrast to current monitoring, we offer advanced and predictive actionable insights to manage risks associated with ground deformation.

Born in the Polytechnico de Torino, our technology leverages Interferometric Synthetic Aperture Radar (InSAR) data to monitor ground deformations with extreme precision, detecting changes as small as 1 mm. 

InSAR works by emitting radar signals from satellites, which then reflect off the Earth's surface. By comparing successive radar images captured over the same location but at different times, InSAR is able to calculate the shifts in the ground, capturing both vertical and horizontal movements. 

This allows us to detect even subtle ground changes that may not be visible through traditional surface monitoring methods. This satellite-based solution covers large areas—up to 10,000 km²—in a single pass, providing comprehensive insights across critical infrastructure and natural resources. 

The unique value of our solution lies in the proprietary analytical methodology published in the academic community. InSAR data by itself provides raw measurements of deformations, but we enhance this data by applying advanced machine learning algorithms. These algorithms are trained to recognize specific patterns in the ground movement that correlate with underlying causes such as oil extraction, groundwater depletion, or urban development activities. 

Unlike traditional monitoring solutions that only report surface changes, our system transforms this data into actionable insights by explaining "why" a deformation is happening and what can be done about it. We ingest both commercial satellite data and freely available open-source data, ensuring the access to the latest information from an array of satellite constellations. 

With this approach, we benefit from multiple vantage points and the most up-to-date imagery without relying on a single source. This frequent and multimodal approach enables rapid results, often offering actionable insights in real-time or within just a few days of data acquisition. The speed of data processing is accelerated through machine learning, which not only responds to the current situation but can also strive to forecast future deformations based on historical patterns. 

In essence, this proprietary methodology allows us to deliver timely, reliable, and highly precise intelligence that enhances decision-making for industries such as oil and gas, urban planning, infrastructure management, and water resources. By translating vast amounts of satellite derived data into predictive models and risk assessments, we provide stakeholders—whether energy operators, local governments, or developers—with the insights necessary to mitigate risks before they evolve into costly issues, safeguarding their investments and improving operational efficiency.