EyeROV

EyeROV develops underwater robotics systems and related software for inspection, survey, and research work in marine environments. The company builds AI-powered autonomous underwater ROVs together with a smart surface vehicle, so its products cover missions running from surface operations through to deep-sea exploration. Alongside the hardware sits a visualization and analytics platform that processes the data collected by the ROVs, adding functions such as data visualization, analytics, image and video enhancement, customized report creation, and reconstruction of an inspected location in 2D or 3D. The business goes beyond selling vehicles. Its services are organized around specific underwater and offshore use cases. On the infrastructure side that covers dams, tunnels, and bridges. On the energy side it covers oil and gas assets and pipelines. On the environmental and research side it covers maritime ecosystems and marine research, and on the security side it covers defense and search and rescue. In these areas EyeROV uses AI-driven ROV inspections to detect structural issues, sediment buildup, corrosion, leaks, erosion, scour, damage, wear, and other conditions in real time. Further applications include coral reef monitoring for biodiversity and conservation, underwater surveillance and threat detection for defense, and imaging that helps locate vessels and debris in search-and-rescue work. A distinctive part of the offering is the combination of robotics with software and analytics. EyeROV collects underwater data through its vehicles and then turns that data into usable inspection outputs through EVAP, including enhanced visuals, reports, and reconstruction of the inspected locations. The company's focus falls on precision, safety, and efficiency in challenging marine environments, and it serves customers that need reliable underwater inspection and monitoring across infrastructure, energy, maritime, defense, and research settings. That mix of autonomous vehicles, a surface platform, and an analytics layer means a client can take the data collection and the interpretation of that data from the same supplier.