Provides a platform that creates hyper-realistic 3D digital twins using a proprietary AI model trained on thousands of scanned avatars, enabling users to interact in virtual environments with lifelike expressions, eye gaze, and body movements. This technology enhances applications in gaming, video conferencing, and content creation by offering immersive, personalized experiences without the need for specialized hardware.
Funding
$44M 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
Creating realistic 3D avatars for virtual interactions often requires specialized hardware and complex processes, hindering widespread adoption and personalized experiences in gaming, video conferencing, and content creation. Existing solutions may lack lifelike expressions and movements, diminishing the sense of immersion and presence.
Solution
CommonGround-AI offers a platform for generating hyper-realistic 3D digital twins from standard smartphone scans, enabling users to interact in virtual environments with lifelike expressions, eye gaze, and body movements. The platform utilizes a proprietary AI model trained on thousands of scanned avatars to create personalized digital representations. These "TrueSelf" avatars can be used across various applications, including gaming, video conferencing, and content creation, to enhance engagement and immersion. The technology works on computers, phones, TVs, and XR devices, providing a consistent experience across different platforms.
Target Audience
The primary target audience includes developers and businesses in the gaming, video conferencing, content creation, and e-commerce industries seeking to integrate realistic 3D avatars into their applications.
Features
- AI-powered 3D avatar creation from 90-second smartphone scans
- Hyper-realistic re-enactment of digital twins with support for a full range of expressions and emotions
- Advanced motion capture for eye gaze, viewing direction, and torso movement
- Fully automated pipeline trained on thousands of digital twins
- Cross-platform compatibility (computer, phone, TV, XR)
- Integration with gaming engines, video conferencing platforms, and content creation tools