Dig Robotics leverages computer vision and machine learning to optimize excavation machinery operations, achieving up to 30% reductions in operating costs and greenhouse gas emissions. Our patent-pending technology calculates the optimal excavation path for each cycle, ensuring full bucket loads while minimizing cycle time, fuel use, and equipment wear. Our initial product is an operator guidance system designed for easy retrofitting on existing machinery, with future advancements aimed at full autonomy.