Levente Simon is a software engineer and mathematician specializing in scalable web applications, cloud-native platforms, and data-driven solutions. With experience across Cognizant, IoT innovation, and applied network science, he combines full-stack engineering expertise with a strong mathematical foundation, exploring fractals, data visualization, education technology, and modern digital product development globally.
Proofminder – enabling leaf-level monitoring to support decision-making in large-scale agriculture
Proofminder focuses on enabling leaf-level monitoring to support decision-making in large-scale agriculture. At scale, decisions around crop and seed quality depend on timely and objective field data rather than averages or assumptions. Proofminder supports agronomy and quality assurance teams by providing leaf-level intelligence that enables precise and actionable insights.
The company’s AI-powered platform delivers highly precise and timely reports, allowing users to identify issues early, compare different field blocks, and make decisions based on accurate, up-to-date data. This approach helps users understand their fields in greater detail and act with increased confidence.
Proofminder also supports the achievement of production goals in a sustainable way. Its platform helps improve yield and crop quality while reducing chemical use by up to 80%, supporting alignment with sustainability goals relevant to customers and partners.
Across the full growing cycle, from planting to harvest, Proofminder contributes to operational efficiency. Its reporting helps reduce labour requirements, limit input waste, and achieve a return on investment of 2–5×. With an end-to-end approach, the platform is designed to be easy to start with and integrate into existing farm operations.
PROOFMINDER (HUNGARY)
IS SELECTED AS ONE OF OUR
