Tensorleap is on a mission to make deep learning more understandable, accessible, and most importantly – reliable. By bringing transparency to neural networks, we boost data scientists’ confidence that the models they build will perform reliably in production.
Our platform helps a wide range of industries leverage the potential of deep learning to solve their toughest challenges.
Monique Lance
monique.lance@tensorleap.ai
40 Tuval Street, Ramat Gan
972547782549
https://tensorleap.ai
Our Representatives
The Only Debugging and Explainability Development Platform for Neural Networks.
By bringing transparency to deep learning models, Tensorleap eliminates uncertainty and enables data scientists and organizations to dramatically reduce the danger of having their models fail in production.
The Visibility You Need to Build Models You Can Trust
Tensorleap uses innovative interpretability and explainability techniques to revolutionize the neural network development paradigm. By taking the lid off the “black box” of neural networks, Tensorleap also boosts the efficiency of data science teams, cuts costly development cycles, and allows organizations to significantly shorten time to market.
Enjoy Unprecedented Explainability
Even where models perform as expected, data scientists now have the visibility to explain how the model arrived at the result, the ability to discard the possibility of bias, and the confidence to know how their models will stand up in edge cases.
The implications of model failures in production are huge. Understanding how your model perceives the data is mission-critical!