Maestrano Group plc (LON:MNO), the Artificial Intelligence platform for transport corridor analytics, has announced the appointment of a distributor in the USA and an update on its contract with Meitetsu in Japan.
Nextcore, a subsidiary of Maestrano Group plc, designs and manufactures a lightweight UAV (drone) based LiDAR (Light Direction and Ranging) unit under the model name RN50, which is used by digital survey companies worldwide and is sold via a network of specialist distributors.
USA Distributor Appointment
Nextcore is delighted to announce the appointment of MODUS as its first North American distributor. MODUS is a pioneer in military and commercial remote sensing drone technologies and a leading solution provider to the surveying, construction, forestry, environmental management and mining industries. Further information on MODUS can be found at www.modus-ai.com
Ashley Cox, Chief Operating Officer for Maestrano, said, “We have focused on growing the Nextcore distributor base around the world, to increase sales. The UAV based Lidar unit, the RN Series, is gaining a reputation as a high performance, reliable and low-cost system. We are excited by the partnership with Modus-ai and the opportunities it will bring.”
Nextcore’s distribution network has expanded significantly in 2020, with new agreements with Marvel Geo-spatial in India, Intec in Malaysia, Skymec in Russia and D1 Store in Australia. Further information on Nextcore can be found at www.nextcore.co
Meitetsu Update
Maestrano’s subsidiary, Corridor Technology, has successfully completed Phase 1 and 2 of the Meitetsu paid pilot project announced on 15 January 2020. The customer has approved progression to a new Phase 3 with an increased scope and term. The requirements definition has been refined and Corridor Technology will create an additional four Machine Learning models and deploy these during Phase 3 of the project.
Nick Smith, Vice President Sales for Maestrano Group, said,
“We are making excellent progress working with Meitetsu and the evolution of our Machine Learning platform in the Japanese rail network environment. It has been particularly pleasing to see the applicability of developments from Australia and the UK in Japan and vice versa.”
