Gracia AI, the London-based startup redefining volumetric video with 4D Gaussian Splatting (4DGS), has secured $1.7 million in new funding from main traders, together with EWOR and one among NeRF’s authentic pioneers. The capital might be used to develop the engineering workforce and speed up the event of manufacturing instruments for XR use instances, filmmakers, advertisers, and VFX groups.
The corporate raised its preliminary $1.2 million funding round in early 2024, when it was experimenting with static Gaussian Splatting and early prototypes. Video splats weren’t even an idea again then. Twelve months later, Gracia has delivered dynamic 4DGS to standalone VR headsets, enabling seamless real-time playback with out tethered {hardware}.
Thought born from viral experiment
Gracia was based by two finest mates after a technical demo went viral. Co-founder and CTO Andrey Volodin, beforehand a part of Prisma’s breakout success, posted a technical demo on-line. The clip exploded throughout creator communities, revealing an surprising fact: whereas pleasure for 4DGS was monumental, the instruments to construct with it merely didn’t exist.
This response shifted Gracia’s mission. What started as an thought for “YouTube for volumetric video” rapidly developed into one thing broader, a whole manufacturing spine for capturing, enhancing, and deploying 4DGS content material. Alongside co-founder Georgii Vysotskii, Volodin expanded the imaginative and prescient from distribution to creation, specializing in the lacking infrastructure that professionals repeatedly requested for.
That technique has paid off. Gracia now gives an end-to-end pipeline overlaying cloud processing, studio-grade enhancing, timeline and digicam management, and devoted plugins for Unity and Unreal. The system helps real-time playback on Quest 3/3S and Pico 4 Extremely, with WebGPU-based viewing on Mac and browsers. With information averaging 1GB per minute, Gracia is without doubt one of the first platforms to make large-scale volumetric video sensible throughout units.
Shaping the way forward for artistic industries
Gracia’s expertise is already permeating Huge Tech labs, Hollywood productions, European leisure manufacturers, and style runways, together with powering the world’s first 4DGS runway expertise for Karl Kani. Its volumetric engine can be behind points of interest at PortAventura, one among Europe’s high theme parks.
Past experimentation, the financial affect is popping heads. Digital units constructed by means of 4DGS remove expensive location shoots, saving productions $30,000–$70,000 per session. Quick, versatile digicam management in post-production avoids reshoots value $50,000–$100,000 per day. Even robotic digicam techniques, lengthy a staple of high-end shoots, might be changed, reducing as much as $15,000 per shot. Character-driven workflows additionally shrink by 30–50%, dramatically decreasing post-production budgets.
With greater than 50 million next-gen headsets already shipped and almost 100 million anticipated mid-decade, the race for volumetric content material is accelerating. Gracia’s infrastructure provides studios, creators, and builders the lacking basis they should sustain.
“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.”
“Earlier variations struggled with quick, complicated movement, both requiring an extreme variety of Gaussians or producing seen artifacts. Our newest launch lastly solves this: even footage captured at 50fps can now be performed again in ultra-smooth gradual movement with minimal artifacts, whereas preserving high-quality particulars. This makes 4DGS viable for high-demand use instances like sports activities and movie.” added Anton Fonin, R&D at Gracia.
“The standard that Gracia delivers in VR is unmatched,” mentioned Tipatat Chennavasin, Normal Accomplice at The Enterprise Actuality Fund. “It’s among the most spectacular volumetric content material ever skilled on XR headsets.”
