Maestrano Group announces Nicholas Smith as next CEO

– UK, London –  Maestrano Group PLC (LON: MNO), the Artificial Intelligence platform for transport corridor analytics, today announced the appointment of Nicholas Smith as CEO, with effect from 11 January 2021.

Mr Smith was previously appointed as a Director of the Company and VP Global Sales on 6 November 2019. Following an extended handover period, Andrew Pearson will step down as CEO and a director upon Mr Smith taking up his new appointment.

“Andrew has done a superb job as CEO, with flawless execution of a complex merger and establishing processes and practices that will serve the Company for years to come. The Board recently completed a long term business plan and agreed that our product leadership warranted an increasing focus on complex Machine Learning solutions in the transport sector, hence this decision. Nick is planning to relocate to the UK in January to focus on growing our Northern hemisphere customer and partner base.” said Board Chairman, Ian Buddery.

Andrew Pearson, CEO of Maestrano, commented: “I have been honoured to lead the Company through its merger with Airsight and the subsequent evolution to new markets and products. We have formed the view that these new markets require a CEO with specific expertise in rail and road digital analysis and, as the former CEO of Airsight, Mr Smith is ideally qualified and experienced. The move has been timed for early next year, to allow for a careful and thorough transition.”

Nick Smith, VP Sales for Maestrano, said, “I am excited by our customers’ response to our products and the opportunities now ahead of us. Since co-founding Airsight in 2012, we have been leading the digitalisation of surveying and asset maintenance techniques in Australia, now extending to global markets. I would like to recognise and thank Andrew for his contribution since the merger and I look forward to leading the Company through the next growth phase.”

About Maestrano

Maestrano offers a patented cloud-based platform for master data management and business analytics, together with specialist hardware and software for capturing, analysing and reporting on large datasets within the transport sector, employing sophisticated artificial intelligence algorithms.

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