The startup offers a 3D creation platform that utilizes AI-driven tools for generating, editing, and sharing 3D content, enabling users to produce high-quality visuals without prior experience. This platform addresses the barrier to entry in 3D art creation, making it accessible for a broader range of creators.
Funding
$5.6M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Founders
Product
Problem
The increasing demand for 3D assets across industries like gaming, VR/AR, e-commerce, and architecture puts immense pressure on 3D creators to deliver more content in less time. Managing and organizing these assets, along with ensuring seamless collaboration, presents significant challenges for 3D teams. Traditional 3D workflows often involve misplaced files, unstructured dependencies, and inefficient communication, hindering productivity and creative output.
Solution
Hypothetic offers a cloud-based 3D creation platform that leverages generative AI to streamline 3D workflows, enhance collaboration, and simplify asset management. The platform's AI-powered SmartSearch™ enables users to instantly locate and organize 3D files using natural language, images, or 3D files, eliminating the need for manual tagging and folder structures. Hydrogen AI automatically finds and links materials, textures, and animations, while the platform's collaboration tools facilitate real-time feedback, commenting, and approvals directly on 3D assets. By automating repetitive tasks and providing a centralized hub for 3D content, Hypothetic empowers artists and teams to achieve exponential gains in creativity and productivity.
Target Audience
Hypothetic is designed for 3D artists, game studios, art studios, and teams across industries like gaming, VR/AR, e-commerce, and architecture who need to create, collaborate on, and manage 3D assets efficiently.
Features
- AI-powered SmartSearch™ for 3D assets using multimodal inputs (text, image, 3D file)
- Automated organization of 3D file dependencies, including materials, textures, and animations
- Real-time collaboration tools for commenting, feedback, and approvals directly on 3D assets
- Non-destructive "collections" for organizing assets without duplication
- Extensive metadata tagging, searching, and sorting capabilities
- Granular project access and permission controls for teams
- AI-driven procedural asset collection generator for creating variations of 3D assets
- Integration with ControlNet for precise control over AI generation
- SOC 2 compliance with 256-bit encryption for data security
- API access for integrating with existing 3D pipelines