Kuza

Kuza solves inefficient input use in commercial agriculture through a two-track precision agriculture platform. Our implementation layer uses drones equipped with multispectral and RGB imaging to apply fertilizers and pesticides with high precision—reducing chemical waste, improving application accuracy, and minimizing environmental impact. Our intelligence layer builds digital twins of each farm using field observations, drone imagery, and contextual metadata. We then apply causal machine learning to simulate different input strategies and recommend the optimal timing, type, amount, and placement. This ensures farmers make decisions based on evidence, not assumptions. We are currently piloting this solution with large-scale farms in Kenya, helping them reduce costs, improve yields, and meet increasingly strict compliance standards for export markets.