Last updated 08-20-2026
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Datagen
Datagen was a data science platform for generating synthetic visual datasets used to train computer vision models. The Tel Aviv company built a self-serve simulator that rendered photorealistic 2D and 3D imagery with granular control over scenes, lighting, and human-centric scenarios. Fortune 500 teams used it for AR, VR, in-cabin vehicle safety, robotics, and IoT security workflows.
Where most annotation vendors sell labeled real-world photos, Datagen focused on procedurally generated 3D scenes you could tune without collecting new camera footage. That trade-off cut dataset build time from days to hours for teams that needed rare poses, lighting, or edge cases real cameras rarely capture.
Datagen ceased operations in 2024 after generative AI reduced demand for its rule-based synthetic data stack. The datagen.tech domain now returns Cloudflare DNS resolution errors, and public reporting confirms the shutdown despite about $20 million remaining in the bank after $72 million in total funding.
Self-serve platform generated photorealistic 2D and 3D synthetic imagery for CV training
Granular scene controls covered lighting, object placement, and human-centric scenarios
Raised $72 million total, including a $50 million Series B round in March 2022
Targeted AR, VR, robotics, in-cabin safety, and IoT security use cases
Founded in 2018 in Tel Aviv by Technion graduates Ofir Chakon and Gil Elbaz
Self-serve synthetic data platform with granular 3D scene controls
Photorealistic human-centric datasets for rare CV edge cases
Backed by about $72 million in venture funding
Reduced dataset creation timelines from days to hours for CV teams
Company shut down in 2024 and the product is no longer available
datagen.tech returns Cloudflare DNS resolution errors today
Generative AI reduced demand for Datagen's rule-based synthetic data approach
No public pricing page remained before the business closed
Is Datagen still available?
No. Datagen shut down in 2024 and datagen.tech now returns Cloudflare DNS resolution errors. The company laid off most of its workforce after a failed pivot toward generative AI and closed despite retaining significant cash.
What did Datagen do?
Datagen was a synthetic data platform for computer vision. It generated photorealistic 2D and 3D training imagery with granular scene controls so teams could build human-centric datasets without collecting new real-world photos.
How much funding did Datagen raise?
Datagen raised about $72 million in total funding. Its largest round was a $50 million Series B in March 2022 led by Scale Venture Partners, with backing from TLV Partners, Viola Ventures, and Spider Capital.
Who founded Datagen?
Datagen was founded in 2018 in Tel Aviv by Technion graduates Ofir Chakon and Gil Elbaz. Chakon served as CEO and Elbaz as CTO while the company built synthetic data tools for computer vision teams.
Why did Datagen shut down?
Datagen closed in 2024 after generative AI tools reduced demand for its rule-based synthetic data platform. The company attempted layoffs, a pivot, and acquisition talks with Meta, but none of those paths kept the business operating.
What industries did Datagen serve?
Datagen focused on computer vision teams building AR, VR, autonomous driving, robotics, and IoT security models. Its synthetic scenes targeted human-centric perception tasks where real-world capture is slow or incomplete.