DRASS, a renowned leader in subsea technologies, and INTECS, a pioneer in artificial intelligence solutions, have embarked on a groundbreaking collaboration aimed at enhancing subsea security through innovative AI-driven approaches. This partnership of DRASS and INTECS seeks to address the evolving requirements of today’s Navies by developing specialized methodologies and algorithms to bolster surveillance and performance in the underwater domain.
Andrea Scuppa, Head of Defence Division at INTECS, declares: “The use of artificial intelligence applied to the processing of underwater signals is a crucial step for the future of Navies. The synergies between INTECS and DRASS, along with our shared strategic vision for the underwater environment, form a solid foundation for a mutually beneficial collaboration between our industrial entities.”
Commenting on the collaboration, Luca Biasci, Head of Electronic Engineering and Software at DRASS, stated, “The revolution that is underway in the subsea domain requires a reevaluation of traditional approaches to signal processing by taking into account the unique characteristics of our operating environment whilst leveraging cutting-edge technologies. INTECS represents a flexible, technologically advanced and proactive partner for us. We are confident that our common collaboration will yield top-tier results.”
DRASS has been continuously active since 1927 and currently is the largest diving manufacturing business, running most of the ongoing projects. DRASS 100 Series is the only serial production of turnkey diving systems. Most of the diving equipment is designed and manufactured in house, granting the shortest delivery time and the maximum level of quality. Thanks to the advanced R&D activity, Drass holds key patents covering important solutions applicable to the saturation diving. DRASS is deeply involved in the vessel integration of the diving spread, offering a detailed engineering package to ship designers and complete support to ship builders during the commissioning and testing.
