Exyn Technologies has announced a distribution partnership with EROCK Associates that, it says, highlights the increasing availability of Exyn’s aerial drone and portable SLAM mapping products across critical infrastructure projects and complex mining.
The partnership will make the ExynAero™ and ExynPak™ available to a host of new customers seeking best-in-class aerial autonomy and 3D SLAM mapping for capturing critical data in high-risk environments, Exyn says.
EROCK Associates is a drone data capture company specialising in inspection for major construction infrastructure projects, multiple large-scale operations and emergency responses to time-sensitive situations. In short, EROCK “boldly drones where no one has gone before”, the company says, making Exyn a perfect partner.
Nader Elm, CEO and Co-Founder of Exyn Technologies, said: “We’re thrilled to welcome EROCK Associates as our newest channel partner of the ExynAero and ExynPak to deliver the key benefits of real-time data capturing, safety and operational efficiency in critical industries and mining. By offering world-class software and technology, we expand their capabilities to great levels, enabling them to tap into a new customer base and explore geographic areas never before reached. We aim to be integral to fully autonomous critical infrastructure projects and mining operations.”
Eric Bennett, Founder of EROCK Associates, said: “This partnership with Exyn will unlock a new world of capabilities for EROCK Associates. We look forward, with much excitement, to offering our customers Exyn’s cutting-edge products. A long time in the making, we feel confident that we can meet and exceed levels of safety and efficiency, like never before.”
Exyn’s autonomous aerial robot systems are commonly used for industrial applications such as mining, construction, infrastructure inspection and military surveillance/reconnaissance, Eyxn says. With this new distribution partnership, Exyn says it is looking forward to working alongside public sectors to unlock key capabilities of robotic 3D mapping.