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About Tensorleap

Tensorleap offers data scientists 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 drastically reduce the danger of having their models fail in production. Using Tensorleap, datascientists can quickly identify and resolve edge cases, under-represented populations, overfitted data, perform extensive unit testing, and make informed decisions about which models to deploy in production. With this visibility, Tensorleap eliminates uncertainty and enables data scientists and organizations to build robust, high-quality models, drastically reducing the danger of them failing in production.

Founded in 2020 by David BenDavid, Nir BenDavid and Yotam Azriel.

Founded
2020
Employees
11 to 50
Total funding
$7.7M

Leadership

The top of Tensorleap's org chart, with how many people report into each leader.

DBPhoto of David Bendavid

David Bendavid

CEO & Co-Founder

Jobs at Tensorleap

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