Our AI-driven analytics platform goes beyond monitoring — it interprets hive behavior and predicts future risks. Using advanced machine learning models, we analyze hive sound vibrations, bee movement, and environmental data to detect potential diseases, swarming events, or food shortages. We’re also developing tools that can identify nectar sources and forecast honey yields. This project is key to making data actionable, giving beekeepers clear insights and guidance rather than overwhelming them with raw numbers.