Gracia AI raises $1.7M for 4D Gaussian Splatting workflows


What’s the story?

Gracia AI introduced $1.7M in funding for its end-to-end 4D Gaussian Splatting platform, together with cloud processing, a studio toolkit, and Unity/Unreal plugins.

Why it issues

The corporate’s 4DGS stack removes a manufacturing bottleneck, letting groups create and deploy volumetric video throughout XR and VFX workflows.

The larger image

Maturing 4DGS pipelines might flip volumetric shoots into repeatable belongings, slicing reshoots and on-location days whereas slotting into present XR and VFX workflows.

December 13, 2025 Gracia AI, a US-based firm constructing infrastructure for 4D Gaussian Splatting (4DGS), has this week introduced USD $1.7 million in funding from a gaggle of funds and angel traders, together with EWOR. With the brand new spherical, Gracia acknowledged that it goals to place itself as “one of many fastest-growing gamers” within the trade.

Gracia presents an end-to-end infrastructure for producing and deploying 4DGS volumetric video. The system combines cloud-accelerated 4DGS processing with a studio surroundings for modifying, timeline management, digital camera work, and inventive manipulation. The corporate additionally presents its FXG pipeline, designed to permit studios to make the most of 4DGS in VFX and manufacturing workflows.

In line with the corporate, its volumetric flexibility permits administrators to bypass re-shoots, saving $50,000-$100,000 per prevented shoot day. Gracia additionally acknowledged that utilizing 4DGS to create digital units can save $30,000-$70,000 on location logistics, whereas changing robotic digital camera programs might save as much as $15,000 per shot and scale back post-production character budgets by 30% to 50%.

“We consider the way forward for XR and wearable glasses requires a brand new sort of content material photorealistic, dynamic and really 3D,” mentioned Vysotskii. “Gracia offers the underlying expertise studios have to construct that future.”

The platform helps standalone VR playback on the Meta Quest 3 and 3S, in addition to the Pico 4 Extremely. Different headsets are additionally accessible through PCVR. For builders, Gracia offers devoted plugins for Unity and Unreal Engine, whereas 4DGS content material can be seen through WebGPU-based 2D playback on Mac and internet browsers.

“Volumetric video has existed for a decade, however high quality and efficiency limitations held it again,” mentioned co-founder Georgii Vysotskii. “Gaussian splatting lastly closes that hole, and Gracia brings it into manufacturing.”

Gracia acknowledged that it now offers a full manufacturing tech stack for bringing 4DGS content material into actual workflows throughout XR, VFX, movie, promoting, gaming, and next-gen artistic instruments. Moreover, the corporate is working to advance its core 4DGS expertise, aiming to sort out long-standing challenges in volumetric seize, notably round quick, complicated movement.

In line with Gracia, its 4D Gaussian Splatting expertise is at present being examined in VFX pipelines and has been used for a 4DGS runway present for vogue model Karl Kani. Moreover, its volumetric video system is powering experiences at PortAventura, one in every of Europe’s largest theme parks.

The corporate’s present backers embody The Venture Reality Fund and Triptyq Capital. Commenting on this newest funding spherical, Tipatat Chennavasin, Basic Associate at The Enterprise Actuality Fund, mentioned: “The standard that Gracia delivers in VR is unmatched. It’s a few of the most spectacular volumetric content material ever skilled on XR headsets.”

To search out out extra about Gracia AI and its 4DGS platform, please go to the corporate’s website.

Picture credit score: Gracia AI

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Sam is the Founder and Managing Editor of Auganix, the place he has spent years immersed within the XR ecosystem, monitoring its evolution from early prototypes to the applied sciences shaping the way forward for human expertise. Whereas primarily masking the newest AR and VR information, his pursuits prolong to the broader world of human augmentation, from AI and robotics to haptics, wearables, and mind–laptop interfaces.

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