DeepLeaf is committed to feeding the world through AI powering food security programmes and enabling agritech companies to scale by integrating our plant-health diagnosis API. We believe that accessible accurate crop intelligence should reach every farmer everywhere.
DeepLeaf is building an AI-powered plant health platform that detects crop diseases pests and nutrient deficiencies from smartphone images in under three seconds achieving 96% field-validated accuracy. The platform is already live with new launches set to begin in Q4 2025 through FarmBiz Africa and Hassad Food. Founded by El Mahdi Aboulmanadel and a team with deep expertise in computer vision and MLOps the company tackles a major challenge: delivering affordable accurate crop diagnostics to millions of farmers without access to agronomists. Trained on proprietary datasets spanning 55+ crops and 800+ conditions with multilingual labels DeepLeaf combines deep learning out-of-distribution detection and NDVI satellite and time-series models to provide actionable insights. Its B2B2C model integrates mobile payments like IntaSend and M-PESA sustaining 10000 diagnostics per hour with 99.7% uptime even offline in low-bandwidth areas. We look forward to strategic partnerships through the AI Hub specifically to strengthen our compute capacity improve our model training cycles and expand our integrations with national digital agriculture platforms. We also aim to collaborate with UNDP country offices to deploy DeepLeaf in food security and climate-resilience programmes create impact with philanthropy and impact-driven organizations that help offset costs for smallholder farmers who cannot afford digital advisory services. Through the Compute Accelerator Ready Track DeepLeaf will optimize training and inference with GPU and cloud credits from AWS and Google Cloud alongside mentorship on data compute and scaling. With partnerships reaching 3 million farmers in Kenya and 5000 farms in Qatar and recognition from the Orange POESAM Prize and EBRD Star Venture DeepLeaf exemplifies Africa's new generation of AI innovators transforming access to compute into real-world agricultural impact.
