Our solution makes factories better equipped to handle unforeseen scenarios because of our proprietary reinforcement learning approach. When applying reinforcement learning, the AI agent is trained through interaction with a simulated environment, receiving rewards or penalties based on its actions, which allows the AI to learn strategies and policies to achieve the desired outcome, even in unfamiliar situations. Since the simulated environment imitates real-world factory conditions, potential risks can be identified in the training and be addressed proactively.
