Our client, a nonprofit organization dedicated to global climate research, focuses on early detection of fungal infections in plants to prevent ecosystem-wide outbreaks. Their existing process relied on highly trained bioinformatics specialists to manually collect and analyze samples—a slow, resource-intensive approach that hindered rapid response efforts. To scale their mission, the nonprofit sought an AI-powered solution that could automate fungi spore detection and classification and recommend a containment strategy while remaining accessible to field workers without advanced technical expertise. The system also needed to integrate seamlessly with their lab equipment—an electronic microscope. They were looking for a vendor with solid expertise in AI development who could also work with hardware.
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