Foundation Health

Real-time geospatial analysis detects settlement, scour, and structural shifts of offshore wind turbine foundations, ensuring safe operations and proactive maintenance.

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How does it work?

Subsea currents, wave action, and seabed variability can undermine offshore turbine foundations, risking structural failure and costly downtime. AI-driven geospatial monitoring provides continuous, high-resolution stability assessments, enabling early detection of anomalies and targeted interventions.

Continuous Monitoring: The platform ingests satellite, drone, and sonar data to provide uninterrupted foundation stability insights. This ensures no critical events are missed, even in remote ocean regions.
Early Anomaly Detection: AI algorithms detect minute shifts, scour patterns, and settlement trends before they escalate. Early alerts allow maintenance teams to address issues proactively, reducing the risk of unplanned outages.
Risk Mitigation: Predictive analytics quantify foundation health and forecast potential failures under varying load and environmental conditions. This supports data-driven decision-making to minimize structural risks and ensure safety.
Cost Savings: Targeted interventions based on precise geospatial data eliminate unnecessary inspections and maintenance actions. This optimization can lower operational expenditures by up to 20% annually.
Regulatory Compliance: Detailed stability reports and audit trails simplify adherence to offshore safety and environmental regulations. Customizable dashboards generate required documentation for regulatory submissions.
Scalable Analytics: Cloud-native architecture scales analysis across multiple turbines and wind farms. Users can seamlessly expand coverage from a single turbine to regional portfolios without performance loss.

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 compare to traditional inspection methods?: Traditional methods rely on periodic divers, ROVs, or manual surveys with limited frequency and coverage. Geospatial AI enables continuous, high-resolution monitoring without the risks and delays of human-led inspections.
Why is AI-based monitoring popular in offshore wind?: Operators value AI-driven analytics for its ability to process large datasets from satellites, drones, and sensors quickly. This popularity stems from improved reliability, reduced inspection costs, and proactive maintenance capabilities.
Are there limitations to using geospatial data for seabed stability?: Cloud cover and water turbidity can affect optical satellite and drone imagery quality, potentially obscuring seabed features. Combining multiple data sources like sonar and radar mitigates these gaps for comprehensive analysis.
Can this system replace diver inspections?: While AI monitoring reduces the need for frequent diver surveys, it is not a complete substitute for close-up structural assessments. Diver or ROV inspections remain necessary for detailed visual checks and specialized repair tasks.
What alternatives exist to AI-based geospatial monitoring?: Alternative methods include fixed-platform sensors, periodic ROV surveys, and manual bathymetric mapping. However, these approaches may lack the continuous coverage and automated anomaly detection provided by AI-enhanced geospatial analytics.
How often can stability reports be generated?: Report frequency depends on data acquisition schedules—satellite passes can offer weekly or monthly updates, while drones and ROVs can deliver on-demand data. Our platform automates processing to provide near real-time insights as new data arrives.

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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