From the Founder’s Desk

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.

We have well and truly permeated the resources sector, with major mining companies such as BHP, Fortescue, Rio Tinto, Newmont and most recently Mount Gibson Iron using Tyton’s toolsets to help streamline their environmental monitoring and management.

In its 2024 Sustainability Report published late November, Mount Gibson Iron outlined how it applied Tyton’s remote sensing software to assess weed distribution, rehabilitation progress and erosion over the unique vegetation of the remote Koolan Island mine.

Data collected not only enhanced their understanding of weed species but helped them identify areas where remediation may be required.

We anticipate further uptake in the resources sector over the coming year as we continue converting our pipeline of existing opportunities with miners. It is thought that globally, more than 2 billion hectares of degraded land requires restoration, with mining affecting 50 million km² of the Earth’s surface.

We are uniquely placed to take advantage of this growing market opportunity, unpinned by our advanced machine learning model, TytonAI, which enables companies to assess and monitor large scale rehabilitation areas to help restore landscapes following their disturbance.

Looking ahead, we see enormous opportunities for our technology to be applied to projects in the emerging carbon and biodiversity sectors. We are seeing a greater need for more accurate and efficient environmental monitoring and carbon measuring in these industries, and our software can assist in delivering better knowledge banks as well as ecological outcomes for businesses operating in these fields.

Our goal is to enable environmental stewards across the world to use machine learning to help monitor environmental impacts and restore ecosystems. Our TytonAI SaaS software will equip users with the tools needed to monitor large scale rehabilitation areas, assisted by our machine learning vegetation “mega-model,” and I’m excited to see how this technology can have a real impact.

I thank the Tyton team that works tirelessly behind the scenes to develop our software solutions, our customers and trial partners, and our growing list of stakeholders supporting our growth.

I believe we have the potential to make a tangible difference in how companies meet their environmental management and reporting requirements, and I look forward to being part of their journey.