According to a recent LinkedIn post from Ode, the company’s AI research team has been working with Trase – Intelligence for sustainable trade and researcher Jailson Souza Filho to detect previously unmapped soy infrastructure in Brazil. The post indicates that the initiative targets hidden silos and rural storage facilities that may contribute to deforestation but are absent from traditional datasets.
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The LinkedIn post highlights that Ode applied large earth observation models to satellite imagery and claims to have identified 4,200 previously unmapped facilities across Brazil. The work is framed less as a one-off project and more as the development of a reusable pipeline that Trase can apply to any commodity and region on an ongoing basis.
For investors, the post suggests Ode is positioning its AI capabilities at the intersection of environmental risk, supply-chain transparency, and geospatial analytics. If this technology proves scalable and accurate, it could enhance Ode’s appeal to ESG-focused clients, data providers, and financial institutions seeking tools to assess deforestation and related regulatory and reputational risks.
The collaboration with Trase may also signal Ode’s strategic move to embed its tools within established sustainability platforms, potentially creating recurring usage and partnership opportunities. Over time, this type of capability could support new revenue streams tied to compliance, risk monitoring, and impact measurement in commodity supply chains, while strengthening Ode’s competitive position in climate and sustainability analytics.