Project ARIEL integrates autonomous vessels and drones with AI and advanced sensors to detect, monitor, and predict the trajectories of oil spills at sea, reducing risks and operational costs.

The UMOVe Project designs a certifiable 24-meter autonomous vessel for critical offshore missions, enabling safer and more efficient unmanned operations for the energy, logistics, and defense sectors.

By combining artificial intelligence, computer vision, and the Tupan USV with an onboard drone, the project creates Digital Twins of offshore assets. An advanced platform for automating inspections, real-time simulations, and anomaly detection.

Development of two uncrewed surface vessels, with models of 7 and 11 meters in length. The system operates integrated with MOB, our mobile control center in a 20-foot container, creating a robust and high-tech solution for the strategic monitoring of coastal waters.

The USIS Project integrates an ROV with the USV Tupan to perform autonomous offshore underwater inspections, ensuring greater safety, a 70% reduction in costs, and a 95% reduction in fuel consumption.

Autonomous offshore monitoring focused on validating the technical feasibility of future wind farms. Through the Tupan USV and LiDAR sensors, we capture unprecedented data on wind and sea conditions to optimize the efficiency of clean energy projects.

Development of an 18-meter USV with a 21-day range for long-range journeys. It combines the autonomous transport of up to 10 tons of cargo with the automated operation of launching and retrieving ROVs in deep and ultra-deep waters.