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After seven years of ongoing development, I'm thrilled to announce the launch of a new and improved TytonAI – the world's first Machine Learning as a Service (MLaaS) platform built for ecologists, conservationists and environmental managers.

This is a huge milestone for Tyton and represents a major step forward in modern ecological management, with our technology transitioning from a managed service to a commercial off-the-shelf product now available through the cloud globally, no matter where you plan to apply it.

It makes advanced machine learning simple and accessible for environmental managers around the world.

As I reflect on Tyton's evolution over the past 12 months, I think about the major shift we have seen in ecological and environmental monitoring.

While our focus has largely been on refining our Software as a Service (SaaS) version of the TytonAI software – which we anticipate will be launched early in new year – we have continued expanding our customer base and identifying key growth markets.

Over the past 12 months we have seen our customer base expand as more companies realise the benefits our technology brings to them.

Cam Mounsey can see a future where every mining company on the planet is using machine-learning and remote sensing to monitor environmental impacts.

As the founder and chief executive of Tyton Ecological Intelligence, Mounsey leads a team of spatial ecologists, machine learning engineers and software specialists developing cutting-edge technologiesto drive better environmental outcomes across both new and existing mine sites.

Tyton's signature product is a state-of-the-art machine learning model which can identify vegetation lifeforms, target genres and species at an individual plant-to-landscape scale.

After nearly a decade of developing and delivering our leading TytonAI and TytonIQ programs, we are on the verge of a significant milestone that will revolutionise ecological management.

Our vision to make machine learning easy and accessible for environmental stewards globally will be achieved when we launch our Software as a Service (SaaS) version of our TytonAI software.

This new product will equip customers with the tools needed to monitor large-scale rehabilitation areas, assisted by our machine learning vegetation "mega-model," and workflows built specifically for classifying flora and vegetation in aerial imagery.

Over the past 20 years, we have seen the rise in artificial intelligence (AI) and digital technologies significantly transform the mining industry – from exploration and processing to mineral transportation and, more recently, mine rehabilitation.

Research estimates that the Australian market for mine rehabilitation technologies could grow to $3 billion annually by 2040, up from $800 million in annual revenue in 2020.

Miners are required to monitor environmental impacts and rehabilitate vegetation in and around their mine sites.

In the arid and remote terrain of Western Australia's Great Sandy Desert, a major rehabilitation project is underway to return one of the nation's largest gold mines to its former native landscape.

More than 660 hectares of land across the Telfer mine site is being revitalised, in a bid to return the area to a near-natural condition, similar to before Newmont Corporation began operations nearly 50 years ago.

Telfer is still operational, with new owners Greatland Gold aiming to produce more than 370,000 ounces of gold and 13,000 tonnes of copper over the next 15 months, with further expansion planned in the future.