Datagen Technologies, a Tel Aviv, Israel-based developer of simulated, privacy-by-design visual data sets to train deep machine learning models for real-world tasks, raised $18.5m in funding.
The round was led by Viola Ventures, with participation by existing investors including TLV Partners and Spider Capital, as well as Michael J. Black of the Max Planck Institute, Gal Cheshik, Director of AI at Nvidia, Anthony Goldbloom, CEO and founder of Kaggle, and Trevor Darrell, founder of UC Berkeley’s AI Research Lab.
The company intends to use the funds to grow its R&D and expand into new markets.
Founded in 2018 by CEO Ofir Chakon, Datagen is a developer of simulated, privacy-by-design visual data sets to train deep machine learning models for real-world tasks. The solution creates “human” data, things like body movements and skin textures, but also builds the entire environment by mimicking the statistical patterns found in “real world” data like lighting and background imagery. It then tests its data against real-world images to ensure accuracy. Controlling the physics of a simulated environment allows machine learning models to be trained more efficiently and at a far greater scale, eliminating current bottlenecks of relying on manual collection of real-world imagery. This 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 — issues that have set off alarms with regulators around the world – and threaten to slow development of the artificial intelligence industry.
The company currently works with innovative companies across a wide range of industries.