Key Focus Areas

Our platform brings low-latency, embedded intelligence to ships, ports, offshore structures, and underwater systems-empowering smarter, greener maritime operations even in disconnected environments.

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Dynamic Vessel Optimization

Real-time route planning, speed regulation, and energy optimization using AI models based on ocean and weather data.

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Wave Energy Converter (WEC) Optimization

AI-enhanced positioning, control, and fault detection for wave energy farms and offshore power systems.

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Emission & Fuel Monitoring

Edge-based tracking of fuel usage and emissions to meet compliance standards and reduce environmental impact.

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Predictive Maintenance for Marine Equipment

Early detection of anomalies in propulsion, hull integrity, and critical systems using sensor data.

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Port & Coastal Operations Intelligence

Monitoring of tides, currents, vessel docking conditions, and environmental impact metrics via AI at the edge.

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Aquaculture & Marine Habitat Monitoring

Real-time environmental sensing and automated insights to optimize fish health, feeding efficiency, and marine biodiversity protection.

Case Study

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Wavegen

Intelligent Positioning for Wavegen

The Challenge

Wavegen needed a real-time control system to dynamically position and manage a fleet of floating energy devices. Traditional positioning systems relied on manual inputs and could not adapt to changing wave conditions or optimize energy output.

Our Approach

We are customizing our Edge AI platform to support real-time optimization across distributed wave energy converters. One central device is equipped to process ocean wave characteristics and communicate optimized commands to others, using onboard AI to reduce latency and energy loss.

Key Results
  • Seamless coordination of distributed marine devices
  • Dynamic response to real-time ocean conditions
  • Reduced energy loss through intelligent re-positioning
  • Field validation of rugged Edge AI hardware in offshore environment
Impact

The solution enhanced energy yield while reducing dependency on centralized cloud systems, demonstrating the viability of AI-powered optimization in extreme maritime conditions.

Key Outcomes
Improved Energy Yield
Real-Time Device Coordination
Reduced Energy Loss
Edge AI Validated in Harsh Conditions
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Maritime Industry Transformation

Edge AI is redefining how maritime operators respond to real-time challenges-from vessel navigation and energy generation to underwater asset monitoring. Our platform delivers AI-enabled autonomy directly to the edge-onboard ships, buoys, offshore equipment, or subsea nodes.

Transformation Highlights
  • From Manual Oversight → To Autonomous Maritime Intelligence
  • From Reactive Maintenance → To Predictive Edge Monitoring
  • From Centralized Systems → To Localized AI Resilience at Sea
  • From Hardware Complexity → To Plug-and-Play Edge Deployments
Discover Edge AI Products
+20%
Downtime Reduction
+30%
Faster Fault Detection
+35%
Fuel Consumption Reduction
+20%
Energy Output Optimization

Maritime Ecosystem Integration

Seamless AI + IoT Integration Across the Blue Economy.

Vessel Operators

Upgrade legacy systems with AI-powered performance and safety enhancements without full retrofits.

Marine Energy Innovators

Deploy Edge AI for energy optimization, asset control, and real-time analytics on offshore platforms.

Coastal Authorities

Use AI for emissions tracking, environmental monitoring, and smart navigation in ports and harbors.

Aquaculture & Fisheries

Integrate computer vision and sensors for fish health, feeding control, and sustainability monitoring.

Maritime IoT & Sensor Vendors

Extend your solutions with embedded AI for local decision-making and multi-sensor fusion.

Research & Ocean Tech Institutions

Use our platform for pilot testing, data analysis, and validation of intelligent marine systems.