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Gracia AI
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Gracia AI

Volumetric-video company reconstructing captured scenes for sports replays, visual effects and immersive viewing.

France Télévisions named Gracia AI in its Roland-Garros demonstrations on 11 June 2026. Gracia’s role concerned volumetric video, reconstructing captured scenes so viewers can change their viewpoint.

Last refreshed: 26 October 2026 · Appears in 1 active topic

Key Question

What can broadcasters do with 4D Gaussian Splatting that they cannot do with conventional cameras?

Timeline for Gracia AI

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Background

Gracia AI develops software for volumetric video, reconstructing captured scenes so that viewers can choose a different viewpoint. Its workflow processes synchronised footage from multiple cameras into 4D Gaussian Splatting video. Capture partners provide the footage, while Gracia supplies processing and tools for playback and distribution.

Its sports offering applies this approach to replays, allowing a viewpoint to be selected after filming. Playback options include browsers, supported headsets and game-engine integrations. The resulting experience depends on a reconstructed scene rather than a single fixed camera view. That makes the capture and processing stages central to understanding what the software delivers: the viewer explores recorded material through the available reconstruction.

Key Issues
Sports imaging

Gracia earns a volumetric video credit

Gracia AI appeared in France Télévisions’ 11 June 2026 account of its RG Lab demonstrations at Roland-Garros. The broadcaster named Gracia for volumetric video, giving the company a public example of its technology in sports experimentation. The account describes prototypes and demonstrations, rather than establishing routine live broadcast use.

For Gracia, that June credit concerns reconstructing captured scenes for viewing from different positions. It does not establish that every immersive feature shown at the tournament used Gracia’s software. The distinction preserves the company’s specific contribution without assigning it ownership of the broadcaster’s complete experimental production system.

Common Questions

Reference

Where can viewers watch Gracia's volumetric video?
Gracia provides playback through browsers, supported headsets and game-engine integrations, allowing viewers to change their viewpoint within a captured scene.Source: Gracia: Produce 4DGS Volumetric Videos at Scale
How does Gracia produce volumetric video?
Gracia processes synchronised footage from multiple cameras into 4D Gaussian Splatting video. Capture partners supply the footage; Gracia provides processing and tools for playback and distribution.Source: Gracia: Produce 4DGS Volumetric Videos at Scale
why is volumetric video relevant to immersive broadcasting?
Volumetric video allows viewers to change their viewpoint within a reconstructed scene. Gracia provides playback tools for browsers, headsets and game engines.Source: https://gracia.ai/4dgs
how does volumetric video work in broadcast?
Gracia's sports software reconstructs scenes from multi-camera footage to produce replays with viewpoints chosen after filming.Source: https://gracia.ai/broadcasting
what is 4D Gaussian Splatting?
France Télévisions describes 4D Gaussian Splatting as a three-dimensional representation of a person or scene that also captures movement over time.Source: https://www.francetelevisions.fr/groupe/le-lab/rd/rg-lab-2026-ia-au-service-de-limage-57205
what is Gracia AI?
Gracia develops software that reconstructs captured scenes as volumetric video. Its sports offering creates replays with viewpoints chosen after filming.Source: https://gracia.ai/broadcasting
where was Gracia AI's technology deployed in live sport?
France Télévisions used Gracia to process volumetric footage for a Roland-Garros 2026 RG Lab experiment. The broadcaster describes a prototype and visitor demonstrations, rather than confirming live match-broadcast deployment.Source: https://www.francetelevisions.fr/groupe/le-lab/rd/rg-lab-2026-ia-au-service-de-limage-57205
Source Material

Written with AI from Lowdown's published reporting. Not individually reviewed by an editor. Updated 26 October 2026. Editorial standards.