Marine Traffic IQ

Real-time satellite and AIS-based analytics deliver vessel tracking, congestion alerts and operational insights to optimize port throughput and maritime safety.

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How does it work?

Fragmented vessel data and delayed situational awareness hinder port efficiency and marine safety. AI-driven geospatial analytics integrate satellite imagery, AIS and radar feeds to provide real-time monitoring, congestion forecasting and actionable operational alerts.

Real-Time Tracking: Combines AIS, radar and satellite imagery to identify vessel positions with minute-level accuracy. This unified view reduces blind spots and supports proactive traffic management.
Congestion Prediction: AI models analyze current vessel density, berthing schedules and weather patterns to forecast port congestion hours in advance. Early warnings enable operators to adjust scheduling and minimize berth wait times.
Safety Alerts: Automated geospatial monitoring detects collision risks and navigation hazards such as shallow drafts or restricted zones. Instant alerts to operators enhance maritime safety and reduce incident-related delays.
Resource Optimization: Dynamic analytics guide tug assignments, pilot scheduling and berth allocation based on real-time vessel flow. This improves berth utilization rates and cuts resource idle time by up to 20%.
Environmental Monitoring: Continuous surveillance tracks emissions hotspots and oil spill indicators via multispectral satellite data. Early detection of anomalies supports rapid response and environmental compliance.
Historical Insights: Time-series analysis of vessel movements and port throughput uncovers inefficiencies and seasonal trends. These insights inform infrastructure investments and strategic 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 compare to traditional radar-only monitoring?: Traditional radar systems provide limited range and angular resolution, often missing smaller or non-cooperative vessels. Our AI platform fuses radar with AIS and satellite data for broader coverage, higher positional accuracy and 24/7 visibility.
Why is AI-based vessel tracking more popular than manual reporting?: Manual reporting relies on human updates that can be infrequent and error-prone. AI-driven tracking automates data ingestion and anomaly detection, delivering continuous, accurate vessel positions and reducing operational workload.
What are the limitations of satellite imagery in port monitoring?: Satellite imagery can be affected by cloud cover and revisit intervals, leading to temporal gaps in observation. Combining imagery with AIS and radar data bridges these gaps and ensures uninterrupted monitoring.
Can I use this platform as an alternative to AIS subscriptions?: While AIS provides critical ship identity data, our platform enhances it with imagery and radar fusion, not replaces it. We recommend maintaining AIS subscriptions for vessel identification and using the platform for enriched situational analysis.
How does the system integrate with existing port management software?: The platform offers REST APIs and GIS-compatible data exports for seamless integration. Real-time alerts and predictive analytics can be embedded into dashboards and control systems via standard interfaces.
What alternatives exist for maritime congestion forecasting?: Statistical models and rule-based systems offer basic congestion estimates but often lack real-time adaptability. Our AI models leverage live geospatial data and machine learning to produce more accurate, context-aware forecasts.

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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