The race to productize Gaussian Splatting (GS) just hit a new gear. Gracia AI, a London-based startup, announced $1.7 million in funding to build what it calls the first full-stack infrastructure for 4D Gaussian Splatting (4DGS), the dynamic, volumetric video version of the buzzy rendering technique.
While GS has been the darling of research labs for two years, Gracia’s raise, backed by funds including EWOR and an original NeRF pioneer, signals a critical pivot: moving photorealistic volumetric capture from technical demos into industrial production pipelines.
Gracia’s origin story is typical of modern AI startups: co-founder Andrey Volodin posted a technical demo that went viral, flooding his inbox with requests for tools that simply didn't exist. The initial idea was a "YouTube for volumetric video," but the founders quickly realized the real bottleneck wasn't distribution, but the lack of high-quality production infrastructure.
The company has since shifted entirely from static GS to dynamic 4DGS, focusing on the complex challenges of motion and scale. They are now powering R&D at global tech companies, being tested in Hollywood VFX pipelines, and even used for next-gen experiences at major European theme parks.
Bringing Gaussian Splatting Tools to Standalone VR
The core challenge for any volumetric technology is performance and accessibility. Gracia claims to have solved key hurdles that previously kept 4DGS confined to high-end PC setups.
