Datagen is a leading developer of simulated, privacy-by-design visual data sets to train deep machine learning models for real-world tasks.
Datagen “is creating a complete CV stack that will propel advancements in AI by simulating real-world environments to rapidly train machine learning models at a fraction of the cost.
Datagen was founded in 2018 by Ofir Chakon and Gil Elbaz. The company is headquartered in Tel Aviv, Israel and New York, NY.
Datagen has a wide range of applications, but there are four that are accelerating faster than others, Zuk said: AR/VR/metaverse, in-cabin automotive and automotive in general, smart conferencing and home security.
Datagen's platform gives developers compliance-free types of data that avoid ethnic or gender discrimination and which they can use to build applications without fear of tainting their products with real, personal or sensitive data such as faces or vehicle license plates.
Datagen’s solution is used by computer vision teams and machine learning engineers inside a variety of organizations, including some Fortune 100 and “Big Tech” companies.
Datagen is backed by Scale Venture Partners, Viola Ventures, TLV Partners, Spider Capital, Michael J. Black of the Max Planck Institute, and others. The company raised $50M in Series B round on Mar 23, 2022. This brings Datagen's total funding to $72M to date.