TensorLeap

Tensorleap operates as a debugging and explainability platform designed specifically for teams building their own neural networks where failures result in real-world events rather than simple dashboard metrics. It enables users to identify failures and edge cases within the neural networks that power physical AI systems, allowing them to understand why specific issues occur and obtain the correct data or model fixes required. The tool supports monitoring these systems throughout production environments and is particularly suited for industries such as autonomous vehicles and semiconductor manufacturing where robotics leaves the laboratory setting. Its primary function focuses on bridging the gap between lab development and real-world deployment by providing deep-learning debugging capabilities.