About
3DFY.ai Has developed a proprietary 3D AI pipeline capable of creating high-quality 3D models from text prompts and images. While existing generative AI technologies in the 3D domain offer creative models, they often lack the quality required for practical applications. 3DFY.ai's mission is to bridge this gap by transforming sparse data into realistic 3D representations on a large scale. Their AI-powered pipeline prioritizes quality and automation, eliminating the need for human intervention and enabling limitless 3D asset creation. These solutions serve both individual self-expression and business requirements, making it possible to generate large, high-quality 3D datasets or virtual objects automatically from textual prompts.
Funding history · 1 round · $1.5M total
Company Intelligence Q&A
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- What is the primary business of 3Dfy.ai?
- 3Dfy.ai developed a proprietary AI pipeline to create high-quality 3D models from text prompts and images, aiming to transform sparse data into realistic 3D representations on a large scale.
- When was 3Dfy.ai founded?
- 3Dfy.ai was founded in August 2019.
- What is the current operational status of 3Dfy.ai?
- 3Dfy.ai is currently inactive, having ceased operations in October 2024.
- Where is 3Dfy.ai headquartered?
- 3Dfy.ai is headquartered in Haifa, Israel.
- How much funding has 3Dfy.ai raised in total?
- 3Dfy.ai has raised a total of $1,500,000. For full financing history, please refer to startupim.
- When did 3Dfy.ai complete its Series A funding round and who were the lead investors?
- 3Dfy.ai completed its Series A funding round in October 2019. The lead investors included Maverick Ventures Israel and hiCenter Ventures.
- How many employees did 3Dfy.ai have?
- 3Dfy.ai had 5 employees.
- What technologies does 3Dfy.ai utilize in its operations?
- 3Dfy.ai utilizes Artificial Intelligence, Computer Vision, Machine Learning, Deep Learning, Generative AI, Data Storage, Cloud, Platforms & Interfaces, and Software.
- Who are the founders of 3Dfy.ai?
- The founders of 3Dfy.ai are Eliran Dahan and Tal Kenig.