Ground Stability

Continuous AI-driven radar and optical monitoring detect ground deformation and slope movements, providing early warnings and risk maps for infrastructure and communities.

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How does it work?

Traditional monitoring of subsidence and landslides relies on sparse sensors and manual surveys, causing delayed detection and risk assessment. Our AI-based geospatial platform integrates satellite, drone, and ground data to identify subtle deformations in real time, enabling proactive mitigation.

Real-time Alerts: The platform processes satellite and drone imagery daily to identify ground movement from millimeters to meters. Automated alerts notify stakeholders immediately when thresholds are exceeded, reducing response time and risk.
High-resolution Mapping: Using high-resolution SAR and optical data, the system generates detailed deformation and slope stability maps. These maps highlight hotspots and vulnerable zones for targeted inspections and interventions.
Predictive Analytics: AI models analyze temporal deformation patterns to forecast future subsidence or landslide events. Early forecasts enable preventive engineering measures, minimizing damage and maintenance costs.
Automated Monitoring: Continuous ingestion of multi-source geospatial data eliminates manual processing bottlenecks. Automated workflows ensure consistent quality and uninterrupted surveillance across all sites.
Scalable Coverage: Cloud-native architecture scales processing to monitor thousands of square kilometers. This supports regional risk management and large infrastructure portfolios with minimal overhead.
Integration Ready: APIs and standard GIS outputs integrate seamlessly with asset management and decision-support systems. Teams can overlay deformation data with utilities, pipelines, or transport networks for comprehensive risk planning.

Frequently asked questions

Have a different question and can’t find the answer you’re looking for? Reach out to our support team by sending us an email and we’ll get back to you as soon as we can.

How does this solution compare to traditional surveying methods?: It offers continuous, wide-area monitoring compared to periodic ground surveys that may miss rapid deformations. Its AI-driven analytics detect subtle changes and issue alerts without physical access or manual measurement.
What are popular data sources for landslide monitoring?: Commonly used inputs include SAR satellites (e.g., Sentinel-1), high-resolution optical imagery, UAV photogrammetry, and ground-based sensors like inclinometers. Combining these sources improves detection reliability across different terrains and weather conditions.
Can it detect both subsidence and landslides simultaneously?: Yes, the platform’s AI models process deformation signals and slope movement patterns concurrently, distinguishing between gradual subsidence and rapid landslide shifts. This unified approach streamlines risk assessment for multiple geohazards.
Are there limitations in heavily vegetated or urban areas?: Dense vegetation and urban clutter can obscure optical imagery and introduce noise in radar signals, potentially reducing detection accuracy. However, the system mitigates these issues by fusing multiple sensor types and applying advanced filtering.
What alternatives exist for landslide early warning?: Alternatives include ground-based geotechnical sensors, manual optical surveys, and local rainfall-triggered threshold models. While effective at specific sites, these methods lack large-area coverage and often require extensive field infrastructure.
How popular is satellite-based subsidence monitoring in industry?: Satellite-based techniques have become standard in oil, gas, mining, and urban planning due to their cost-effectiveness and large-area coverage. Adoption grew by over 50% in the last five years as data accessibility and processing tools improved.

Geospatial AI Platform

Intelligence

AI & foundation models

Deep-learning and foundation models turn raw imagery into ready-to-use insights, so you ship answers instead of training pipelines.

Experience

Conversational workflow

Ask questions in plain language and the platform responds with charts, visualizations, and next step suggestions.

Speed

GPU-accelerated cloud

Cloud-native architecture spins up on-demand GPU clusters that scale from a single scene to global archives—no manual ops, no bottlenecks.

Data

Any sensor, any format

Optical, SAR, drone, IoT, vector or raster—ingest, fuse, and analyze without conversion headaches.

Visualization

Insight you can see

Real-time 2D / 3D maps and export-ready plots make results clear for engineers, execs, and clients alike.

Boost your productivity. Experience Geospatial AI.

Turn satellite, drone, and sensor data into clear, real-time insights using powerful AI – no complex setup, just answers you can see and act on.

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