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We are Datagen.

Generating diverse data at scale is key to achieving robust results needed to train Computer Vision models

Datagen was founded in 2018 with a mission to transform how teams get their data for computer vision network training. With a focus on humans and human-environment interaction, Datagen is a pioneer in the new field of Simulated Data, a subset of synthetic data, focused on photo-realistically recreating the world around us. Today, we work with the most innovative companies in the world to fuel and accelerate their computer vision development and are backed by some of the most respected investors in the space.

Generating diverse data at scale is key to achieving robust results needed to train Computer Vision models

Datagen was founded in 2018 with a mission to transform how teams get their data for computer vision network training. With a focus on humans and human-environment interaction, Datagen is a pioneer in the new field of Simulated Data, a subset of synthetic data, focused on photo-realistically recreating the world around us. Today, we work with the most innovative companies in the world to fuel and accelerate their computer vision development and are backed by some of the most respected investors in the space.

We provide 3D simulated data for Visual AI learning and development.

Our team is building ground-breaking technology in the heart of Tel Aviv, with additional presences in New York City and Gurgaon, India. Together, we share a passion for changing the way that computer vision is built. We have core values that we exhibit on our team and build into our product: a sense of ownership, a love of innovation, a willingness to embrace challenges, and a desire to constantly push the boundaries of technological development.

Join Our Team!

Check out our current job openings:

Sales and Marketing:

R&D:

Product:

Even if you don’t see a particular role that’s relevant for you, we are always looking for talented people to join our team, especially those with experience in computer vision algorithms, Python development, and AWS DevOps. Send us your resume or reach out directly to careers@datagen.tech. We’d love to hear from you!

Our Team

Ofir Chakon

CEO, Co-founder

Ofir is Datagen’s CEO and Co-founder, based in Tel Aviv. He received his B.Sc and M.Sc from the Technion with thesis research in Robotics and Dynamics. His area of focus and expertise is in both deep algorithms and computer vision.

Gil Elbaz

CTO, Co-founder

Gil is Datagen’s CTO and Co-founder, based in Tel Aviv. He received his B.Sc and M.Sc from the Technion. Gil’s thesis research was focused on 3D Computer Vision and has been published at CVPR, the top computer vision research conference in the world.

 

Charles Brun

VP of Sales

Charles is Datagen’s VP of Sales, overseeing all sales and partnerships. He is based in New York. Charles received his BA from McGill University in Economics and Management, has experience as a founder of both consumer and B2B companies, and, most recently, was Head of Partnerships for North America at Dynamic Yield, which was acquired by McDonald’s.

Hadas Sheinfeld

VP of Product

Hadas Sheinfeld joins Datagen as its VP of Product, hailing from Google, where she was responsible for the infrastructure of massive scale, serving over 100 Google products and engineering teams. 

 

Toby Stein

VP of Operations

Toby is Datagen’s VP of Operations, which includes HR, Legal, Finance, and Business Operations functions. He is based in Tel Aviv. Toby received his B.A. and J.D. from Harvard University. Prior to joining DataGen, he worked in Operations at Google, Samsung, and Amino Apps.

Karine Regev

VP of Marketing

Karine Regev comes on board to bring the company’s innovation to existing and new markets in her role as VP of Marketing. Karine brings a track record of growing brand and market share for market leaders including Alcide, acquired by Rapid7, and Aqua Security.

Tal Darom

VP of R&D

Tal Darom is joining the Datagen executive ranks as its VP of R&D, following his leading a human-centric computer vision research group at Amazon. During his tenure at Amazon, Darom managed the development of machine learning training and model evaluation infrastructure and was responsible for bringing deep learning algorithms to production. 

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