SAR Route Planner

Integrate real-time vessel positions and environmental data with AI-driven path planning to pinpoint search zones and optimize rescue asset deployment.

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How does it work?

Maritime search-and-rescue operations face vast ocean areas, shifting currents, and scarce assets, leading to extended response times and lower success rates. Our AI-based geospatial analytics platform integrates environmental models and vessel tracking to swiftly identify high-probability search zones and optimize rescue routes, enhancing mission efficiency.

Search Area Precision: AI-driven thermal and radar analysis narrows down probable distress locations with meter-level accuracy. This reduces search radius by up to 40%, focusing resources where they matter most.
Optimized Path Planning: The platform calculates shortest and safest routes considering vessel capabilities and sea state. Dynamic rerouting adapts to updated conditions, cutting response times by over 20%.
Real-Time Environmental Insights: Continuous integration of weather, sea currents, and tidal models ensures search plans reflect current maritime conditions. Rescuers avoid hazards and anticipate drift patterns for more effective missions.
Asset Coordination: Centralized dashboards synchronize ships, helicopters, and drones in one interface, improving team situational awareness. Automated alerts and resource allocation minimize overlap and idle time.
Predictive Drift Modeling: Machine learning algorithms forecast the likely drift of objects or survivors based on historical data and real-time currents. Early prediction enhances planning accuracy for timely rescue.
Scalable Deployment: Cloud-native infrastructure handles multiple simultaneous missions across vast maritime regions without performance degradation. Agencies can quickly onboard new users and integrate with existing GIS and communication systems.

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 platform compare to traditional SAR planning tools?: Our solution uses real-time data and AI to refine search areas and routes, whereas traditional tools rely on static charts and manual calculations. This leads to faster decisions and more effective resource use in complex maritime conditions.
Why is AI-driven drift modeling more popular than manual drift estimates?: AI-driven drift modeling uses machine learning and live current data to produce accurate forecasts, reducing reliance on rule-of-thumb methods. Its popularity stems from consistent performance across diverse ocean conditions and improved survivor location probabilities.
What are common alternatives to AI-based geospatial analytics in maritime SAR?: Alternatives include manual plotting on nautical charts, rule-based drift tables, and standalone GIS software without AI integration. While these methods offer basic support, they often lack real-time updates and predictive precision.
What limitations should users be aware of when relying on real-time environmental data?: Environmental data streams can be affected by sensor gaps, transmission delays, or coarse spatial resolution in remote areas. Users should corroborate analytics with local observations and maintain contingency plans for data outages.
Are there limitations to integrating with legacy maritime communication systems?: Older VHF and HF radio setups may require middleware to interface with modern digital dashboards. Integration can involve additional configuration, but APIs and standard protocols ensure compatibility with most systems.
How does this platform handle multiple concurrent search missions compared to standalone GIS tools?: The cloud-native architecture scales automatically to support multiple missions without performance loss, whereas standalone GIS often requires manual resource provisioning. This ensures consistent processing speeds and centralized coordination across all active SAR operations.

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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