PredictifAI uses radar-based systems to provide deterministic predictions of ocean waves and vessel motion, offering real-time insights into waves and their effects on vessels.

Vessel owners and operators in need of short-term highly accurate wave and motion prediction to safeguard their critical operations.

Optimize your operational efficiency in activities such as lifting operations, wind turbine installation, jacking operations, cable and pipelay campaigns, diving support operations, ROV launch and recovery, gangway transfers, and any other weather-critical operations where understanding wave and current-induced vessel movements is essential.

The most commonly used X-band radars are all supported.

PredictifAI adds to the suite of WaveSystem applications. The time-critical data is available locally on the installation while lower frequency datatypes and historical data are available at miros.app.

Yes, the system reliably handles multimodal sea states and non-linear effects, offering accurate predictions of ocean surface elevation and vessel motion.

It monitors and tracks specific ocean waves, predicting their impact within seconds to minutes. This allows offshore personnel to get advanced warnings about approaching waves and vessel motions with specific characteristics.

The system provides predictions in the range of 10 seconds to 2 minutes, offering valuable insights for short-term wave and motion forecasting.

PredictifAI provides surface elevation, air gap (between the sea surface and specific points on the moving vessel), and six vessel motion parameters: heave, surge, sway, yaw, roll, and pitch.

The system features an intuitive graphical user interface (GUI) that displays all relevant data. The GUI can be configured with operational limits for various parameters, making critical information easily accessible.

Traditional methods frequently struggle with multimodal sea states, non-linear ocean wave effects, and with fulfilling specific radar installation requirements. In addition, insufficient knowledge about the link between a sea surface time series and the corresponding vessel motion tends to be a problem.

By combining multiple radar sources, traditional methods, and advanced algorithms with artificial intelligence (AI), Miros developed a next-generation system that addresses these challenges effectively.