Hyper3D.AI, developed by DeemosTech, is a leading platform powered by advanced 3D AI tools:

Company

Founded to pioneer the next generation of 3D generative AI, DeemosTech transforms cutting-edge research into production-ready systems that connect academic innovation with real-world applications. Our technologies push the boundaries of AI and computer vision, powering industries from entertainment and gaming to XR and manufacturing — enabling anyone to generate high-quality 3D content with unprecedented ease.

Milestones:

2022: Developed the world’s most precise dynamic light-field capture system, capable of sub-micron geometry and PBR material acquisition. The technology has been adopted in film, gaming, and digital character production pipelines.
2023: Released ChatAvatar, the world’s first production-ready 3D character generation tool combining high-resolution geometry with PBR textures, fully compatible with existing engines.
2024: Introduced Rodin Gen-1, the first native large-scale 3D generative model, revolutionizing standards for 3D creation across industries — from media and entertainment to manufacturing and XR. Rodin remains the closest-to-production, all-purpose 3D asset generator available globally. Benchmarked by Meta 3D Gen Lab as the only model to achieve the highest level across all four key categories: mesh quality, texture fidelity, PBR materials, and clean topology.

DeemosTech continues to push the boundaries of 3D generation — uniting research breakthroughs, engineering excellence, and commercial validation — to define the future of how digital worlds are created.

Research

We are a team of researchers, engineers, and creators from world's leading universities and AI labs, with a track record of shaping the foundations of 3D generative AI.

In just 4 years, we have published 16 top-tier papers and delivered breakthroughs that are reshaping the field, including:

CLAY — the first large-scale controllable 3D generative framework, adopted into MIT’s Deep Generative Models course by Kaiming He, the father of ResNet and Google DeepMind Distinguied Scientist.
CAST — a physics- and occlusion-aware scene reconstruction method, awarded Best Paper at SIGGRAPH 2025.
BANG — a new paradigm for asset decomposition, published in ACM TOG and highlighted among SIGGRAPH’s Top 10 Technical Papers.