Treefera is a London-based AI company that brings transparency to the most opaque part of global supply chains: the origin of nature-based commodities. Founded by the husband-and-wife team of Jonathan Horn (CEO), a former JPMorgan executive, and Caroline Grey (CRO), formerly of UiPath, Treefera tackles a costly blind spot. Goods like coffee, cocoa, palm oil, timber, and rubber pass through long, fragmented chains, and buyers, lenders, and regulators often have little verifiable knowledge of where raw materials were actually grown or harvested, or what environmental impact they caused.
Treefera's platform fuses satellite and aerial imagery with AI models to map and monitor this 'first mile.' It can identify the specific plots and landscapes that feed a supply chain, detect deforestation and land-use change, assess the health and yield of crops and forests, and validate that suppliers are who and where they claim to be. This turns vague sustainability assertions into auditable, data-backed evidence.
The value is sharpened by regulation. Rules such as the EU Deforestation Regulation (EUDR) require companies to prove that products entering the market are deforestation-free, creating urgent demand for exactly the first-mile traceability Treefera provides. The company serves trading firms, financial-services institutions, and corporates across supply chain and agriculture, helping them meet compliance obligations, reduce climate-related disruption to sourcing, and defend sustainability claims against scrutiny.
Treefera raised a $30 million Series B in June 2025 led by Notion Capital, with continued backing from AlbionVC, Triple Point, and Twin Path Ventures, and new investment from Endeit Capital. The round followed a $12 million Series A from AlbionVC in 2024. The capital funds product development, expansion of its data and AI capabilities, and commercial growth as regulatory pressure and physical climate risk push supply-chain transparency up the corporate agenda. Treefera sits squarely at the intersection of climate, compliance, and AI-driven earth observation.