How AI Can Support Transparency in Supply Chains

Transparency and accuracy aren’t easy in sustainability – with so many potential sources of data, it’s hard to cut through to the ones that matter most.

What is Treefera and how does it contribute to the conservation space?

Treefera uses AI and data to provide visibility to nature-based assets – like forests and kelp – to decarbonise supply chains. We provide actionable insights that help industries decarbonise, from supply chains to regenerative agriculture. By focusing on transparency and accuracy, we bridge the gap between data complexity and real-world action.

Our values drive our mission to make critical environmental data accessible and trustworthy. With Treefera, businesses can align profitability with sustainability, creating a future where environmental stewardship and commercial opportunity thrive together.

How does Treefera improve the accuracy and reliability of carbon offset measurements?

Our AI-powered platform transforms the carbon credit landscape by making offset and inset projects more reliable and transparent. We offer precise tools like carbon forestry, enabling estimation, monitoring and forecasting to align projects with global registry standards.

For Biochar, we manage custody data to ensure maximum credit value, while our methane avoidance capabilities validate agricultural offsets with unprecedented speed and accuracy. By integrating these capabilities, we unlock revenue streams in real-world assets and restore trust in carbon markets.

How does Treefera’s data provide unique insights?

Satellite data is revolutionising sustainable monitoring. Our adaptive AI technology combines satellite, drone and ground data to deliver plot-level insights with remarkable energy efficiency. For example, satellite imagery reveals soil composition and monitors forest compliance with laws like the EUDR.

These insights protect businesses from penalties and reputational harm. Whereas, AI reduces energy demands, allowing scalable analysis for entire supply chains. This empowers companies to make informed decisions, defend sustainability claims and adapt to stricter regulations – all while ensuring their actions benefit both the environment and their bottom line.

What are the biggest challenges in applying AI and ML to forest conservation and carbon credit verification?

The carbon market struggles with outdated, slow and opaque processes. Treefera’s platform revolutionises this by delivering near-instant measurement, reporting and verification of carbon credits. We achieve this through AI-powered deep learning models and a vast global tree dataset, offering detailed insights into risks like fire and drought.

By providing clarity and accuracy, we make carbon credits more reliable, helping assurers, insurers and landowners unlock the true value of their projects. This transforms conservation efforts and strengthens global carbon markets.

How do you see the role of AI and advanced data analytics evolving in the fight against climate change?

AI will be pivotal in tackling nature-based risks like extreme weather and resource scarcity. By analysing vast datasets, AI can forecast events such as floods and wildfires, enabling early interventions.

It will also optimise renewable energy systems and verify the success of reforestation and regeneration projects. With stricter regulations like the EUDR and CSRD, businesses must prove compliance with concrete data. AI will bridge this gap, making compliance seamless and strategies more impactful, driving accountability and innovation in the fight against climate change.

Can you share an example of how Treefera is contributing to sustainability efforts?

We recently partnered with Grow United to revolutionise carbon market transparency through a first-of-its-kind platform that leverages blockchain and AI. One standout success is with Royal Family Farms, a multigenerational US farm managing over 14,000 acres.

Through this platform, they reduced the time to register a methane avoidance project from 2.5 years to just seven weeks. This acceleration is made possible through AI-driven remote sensing and blockchain-enabled data, replacing traditional monitoring that operates on a two-to-three-year cycle.

In addition, our AI-driven insights replaced traditional methods, offering weekly updates on fire risks and quarterly reports on floods or storms. This real-time data ensures projects stay on track, delivering reliable carbon credits and empowering sustainable practices. It’s a clear example of technology accelerating climate solutions.

For the full article by Sustainability Magazine