The Montreal-based company specializes in designing algorithms and data-driven products that help farmers manage greenhouses, optimize plant health, and preemptively address potential issues. By using machine learning techniques, Motorleaf's technology can reduce error in harvest forecasting by 50% to 70% from the start and becomes even more accurate with time. Their AI-powered estimates are typically more than twice as accurate as those made by humans. Additionally, CarbonBook℠, a cloud-based software developed by Motorleaf, is a global leader in calculating greenhouse gas contributions from indoor farming. This enables growers, distributors, retailers, and input providers to track carbon footprints, from seed to harvest to delivery, and make data-driven decisions to reduce their environmental impact.