Built on cutting-edge satellite infrastructure and AI-powered analytics to deliver unmatched maritime intelligence capabilities.
OceanWatch leverages a sophisticated combination of satellite imaging, machine learning, and distributed computing to provide real-time maritime monitoring at global scale.
Our platform integrates data from multiple satellite constellations, combining optical, synthetic aperture radar (SAR), and thermal imaging sensors for comprehensive all-weather monitoring.
Deep learning models trained on millions of maritime scenarios automatically detect, classify, and track objects of interest while filtering false positives.
Edge computing nodes positioned globally enable near-instantaneous processing of satellite data, reducing latency from hours to seconds.
Purpose-built data infrastructure handles petabytes of satellite imagery and telemetry data with efficient storage, indexing, and retrieval capabilities.
Our proprietary risk corridor algorithm combines multiple data sources and predictive models to identify areas of elevated maritime risk before incidents occur.
Predictive accuracy for high-risk zones
Advance warning window
Reduction in incidents for users
Comprehensive REST API with OpenAPI specification, supporting both real-time and historical data queries.
Real-time data streams for live monitoring applications with automatic reconnection and backpressure handling.
Event-driven webhooks deliver alerts to your systems with configurable retry logic and delivery guarantees.
Official SDKs for Python, JavaScript, and Java simplify integration with type-safe interfaces.