The startup develops a 3D artificial intelligence platform that utilizes large language models, computer vision algorithms, and diffusion models to generate virtual worlds from text or reference images. This technology enables creators to efficiently produce immersive virtual realities without the need for extensive technical expertise.
Funding
$7.5M 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.
TAFounders
Product
Problem
Creating detailed 3D models and virtual environments is a time-consuming and resource-intensive process, often requiring specialized technical skills and expensive software. Traditional 3D content creation methods struggle to keep pace with the growing demand for immersive experiences in gaming, virtual reality, and the metaverse.
Solution
Atlas provides an AI-powered platform that accelerates 3D content creation by generating high-quality assets and virtual worlds from text prompts or reference images. By leveraging large language models, computer vision, and diffusion models, the platform streamlines the 3D design workflow, enabling creators to produce diverse and visually appealing content with significantly reduced effort and time. The generated 3D models feature clean geometry, semantic segmentations, and UV mappings, ensuring compatibility with industry-standard PBR material workflows and game engines. Atlas offers an end-to-end solution for 3D concepting and runtime generation, empowering users to create custom AI models tailored to their specific artistic styles and project requirements.
Target Audience
The primary target audience includes game developers, metaverse creators, augmented reality/virtual reality (AR/VR) designers, and other professionals involved in creating 3D content for immersive experiences.
Features
- AI-driven generation of 3D models and virtual environments from text or image inputs
- Suite of diverse AI tools enabling an end-to-end workflow from 3D concepting to runtime generation
- Generates clean geometric models with semantic segmentations and UV mappings
- Outputs structured with all the required PBR (Physically Based Rendering) material maps
- Ability to create custom AI models specific to user-defined style references
- Integrates with major gaming and 3D engines for a smooth workflow
- Achieves up to 200x efficiency gains compared to traditional 3D modeling methods