According to a recent LinkedIn post from Ode, the company’s AI research team has collaborated with Trase – Intelligence for sustainable trade and researcher Jailson Souza Filho to detect previously unmapped soy infrastructure in Brazil using large earth observation models. The post indicates this pipeline identified about 4,200 hidden silos and rural storage facilities that were not captured in traditional datasets.
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The post suggests that the primary objective is to provide Trase with a reusable AI tool that can be applied across commodities, regions, and time frames to improve visibility into supply-chain assets linked to deforestation risk. For investors, this type of technology could position Ode as a differentiated data and analytics partner in sustainable trade, potentially expanding its addressable market among financial institutions, corporates, and NGOs focused on ESG and deforestation-free supply chains.
If adopted at scale, such tools may enhance demand for high-resolution geospatial intelligence and subscription-based analytics, supporting recurring revenue opportunities for Ode. The work could also strengthen Ode’s reputation in climate and sustainability data, which may create strategic partnership prospects and improve its competitive standing as regulators and investors increasingly scrutinize land-use and deforestation-related risks.