Gracia AI
Infrastructure for photorealistic volumetric video using 4D Gaussian Splatting for professional creators.
Website: https://gracia.ai/
Cover Block
From the public record
| Field | Value |
|---|---|
| Name | Gracia AI |
| Tagline | Infrastructure for photorealistic volumetric video using 4D Gaussian Splatting for professional creators. |
| Headquarters | London, UK [TechFundingNews, June 2024] |
| Founded | 2023 [TechFundingNews, June 2024] |
| Stage | Seed [TechFundingNews, June 2024] |
| Business Model | API / Developer Platform [Dealroom] |
| Industry | Media / Entertainment |
| Technology | AI / Machine Learning |
| Geography | Global / Remote-First |
| Growth Profile | Venture Scale |
| Founding Team | Andrey Volodin, Georgii Vysotskii [TechFundingNews, June 2024] |
| Funding Label | Seed |
| Total Disclosed Funding | $2.9 million, across two disclosed seed rounds of $1.2 million in June 2024 and $1.7 million in December 2025 [TechFundingNews, June 2024] [TechFundingNews, December 2025] |
Links
From the public record
- Website: https://gracia.ai/
- LinkedIn: https://www.linkedin.com/company/gracia-ai
- Store: https://store.gracia.ai/
- Docs: https://docs.gracia.ai/
- Careers: https://gracia.ai/careers/cto
- VFX / Filmmaking: https://gracia.ai/vfx-filmmaking
The Short Version
PUBLIC Gracia AI is building infrastructure for photorealistic volumetric video, and it merits attention now because it sits at the intersection of creator tooling, spatial computing, and a newer rendering approach, 4D Gaussian Splatting, that several recent funding stories argue is moving from research into production workflows [gracia.ai] [TechFundingNews, June 2024] [TechFundingNews, December 2025]. Founded in London in 2023 by Andrey Volodin and Georgii Vysotskii, the company appears to have emerged from Volodin's earlier volumetric-video experiments and the pair's prior overlap at Prisma, with public coverage describing customer pull toward production tooling rather than a consumer destination product [The AI Journal, December 2025] [TechFundingNews, June 2024].
The product claim is straightforward, even if much of the evidence is still company-led: Gracia says it captures synchronized camera footage, processes it into dynamic 3D scenes, and supports distribution and rendering across creator and immersive endpoints, with reported SDK and plugin support for engines and creative software used in film, VFX, and XR pipelines [gracia.ai] [gracia.ai/careers/cto] [EU Tech Future]. Public differentiation rests less on a foundation model claim than on the workflow layer, namely an end-to-end 4DGS pipeline aimed at professional creators who need higher-fidelity motion and real-time viewing than older mesh-based volumetric approaches typically allowed, according to company materials and later profile coverage [gracia.ai/careers/cto] [Forbes, December 2025].
The team reads as technically credible for an early infrastructure bet. Volodin is identified publicly as co-founder and CTO, with coverage linking him to Prisma as an early employee, while Vysotskii is described as co-founder and CEO and is also tied in public profiles to Netmonet, a QR-payments startup later reported as acquired by Alfa-Bank [gracia.ai/careers/cto] [The AI Journal, December 2025] [Forbes, December 2025] [Crunchbase].
Funding is modest but coherent for the stage. Reported rounds include a $1.2 million seed in June 2024 and a further $1.7 million seed in December 2025, implying $2.9 million in disclosed capital, with named backers including The Venture Reality Fund, Triptyq Capital, LVL1 Group, Future Fund, and EWOR; the business model is best read as API and developer infrastructure rather than a direct-to-consumer media play [TechFundingNews, June 2024] [GamesBeat, June 2024] [TechFundingNews, December 2025] [Crunchbase].
Over the next 12 to 18 months, the key question is whether Gracia can turn visually impressive deployments into repeatable platform adoption. Public evidence points to early market validation through named projects such as Karl Kani and PortAventura, but investors should watch for clearer proof of recurring developer usage, broader production integration, and evidence that cross-platform delivery translates into durable commercial demand rather than one-off showcase work [TechFundingNews, December 2025] [Menlo Times] [FoundersToday].
Unconfirmed -- This section relies materially on company materials for product scope, with funding partially corroborated by TechFundingNews and GamesBeat, and founder backgrounds supported by a mix of company and third-party profiles.
Taxonomy Snapshot
| Axis | Value |
|---|---|
| Stage | Seed |
| Business Model | API / Developer Platform |
| Industry / Vertical | Media / Entertainment |
| Technology Type | AI / Machine Learning |
| Geography | Global / Remote-First |
| Growth Profile | Venture Scale |
| Founding Team | Co-Founders (2) |
| Funding | Seed, total disclosed ~$2,900,000 |
The Company in Brief
PUBLIC
Gracia AI presents as a London-based company founded in 2023, focused on volumetric-video infrastructure rather than a consumer media destination [Crunchbase]. On its own site, the company describes its work in plain technical terms: reconstructing the real world in 4D and building systems that capture, process, distribute, and render volumetric video [gracia.ai] [gracia.ai/careers/cto]. That framing matters because it places the company at the tooling layer of spatial media, where buyer needs tend to center on production workflow, rendering performance, and integration rather than audience aggregation.
The public founder record is consistent on the two co-founders, Andrey Volodin and Georgii Vysotskii [Crunchbase] [gracia.ai/careers/cto]. The company careers material identifies Volodin as co-founder and CTO, while Crunchbase lists the company profile and founding year [gracia.ai/careers/cto] [Crunchbase]. Public materials in the source set do not establish a legal entity name with filing-level precision, so the cleaner read is to stay with the operating brand Gracia AI as presented on the website [gracia.ai].
The milestone trail is still short, which is typical for a 2023 company, but a few points are visible in sequence [Crunchbase] [gracia.ai]. First came formation in 2023, followed by the company website and product positioning around 4D capture and reconstruction [Crunchbase] [gracia.ai]. By June 2024, Gracia had announced a $1.2 million seed round, and by December 2025 public coverage reported a further $1.7 million seed financing, bringing disclosed funding to $2.9 million based on the two named rounds [Crunchbase].
Single-source, plausible -- Founded year and company profile are supported by Crunchbase, while product positioning and founder role detail rely primarily on the company website and careers page.
What They Have Built
MIXED The product story is narrow enough to describe plainly. Gracia AI presents itself as infrastructure for volumetric video, not a consumer app, and says its system takes synchronized multi-camera footage and turns it into photorealistic dynamic 3D scenes that can be explored from different viewpoints in real time [gracia.ai, Unknown] [gracia.ai, Unknown]. Company materials describe an end-to-end workflow across capture, processing, distribution, and rendering, with a stated focus on film, VFX, and professional creator use cases rather than casual social content [gracia.ai, Unknown] [TechFundingNews, June 2024].
The technical differentiation, as described in public coverage, rests on 4D Gaussian Splatting. Forbes and company materials frame that as an alternative to older mesh-based volumetric approaches that were less effective on motion detail and human reconstruction, while Gracia claims better visual fidelity for dynamic scenes [Forbes, December 2025] [gracia.ai, Unknown]. Public coverage also says the output can be experienced across Meta Quest, Apple Vision Pro, PCVR, desktop, and mobile, and that the company offers SDKs or plugins for engines and creative tools including Unity, Unreal Engine, Blender, and Adobe After Effects, although those integration details are not consistently documented on Gracia's own site [EU Tech Future] [Dealroom] [gracia.ai, Unknown].
Several public references suggest the platform is moving beyond a research demo into production tooling, but the evidence is still uneven. Named examples include a Karl Kani 4DGS runway experience and the mixed-reality attraction "Expedition ULUM: The Jurassic Awakening" at PortAventura, which indicate that Gracia's software has been used in live creative deployments rather than only internal tests [TechFundingNews, December 2025] [Menlo Times]. A founder LinkedIn profile also describes a WebSDK running on AWS with Spark.js and Three.js, plus web playback features such as relighting, spatial audio, and 60fps mobile rendering, but those stack details should be treated as company-originated claims rather than independently verified architecture [LinkedIn, Unknown].
Unconfirmed -- Core product description is corroborated by Gracia's website and press coverage, but several material technology details remain company-originated or only partially corroborated by secondary sources.
Market Size and Demand
PUBLIC
This market matters now because the cost and quality curve for immersive media tools appears to be improving at the same moment that film, VFX, XR, and brand activations are looking for more lifelike digital content pipelines, a combination that gives infrastructure vendors a clearer opening than earlier volumetric-video cycles did [Forbes, December 2025] [gracia.ai] [TechFundingNews, December 2025].
The available public record does not provide a named third-party TAM, SAM, or SOM specific to 4D Gaussian Splatting production infrastructure, so the cleaner approach is to frame Gracia AI against adjacent markets rather than force a precision that the sources do not support. Public coverage consistently places the company at the intersection of volumetric video, VFX tooling, and XR content infrastructure, with use cases spanning Hollywood productions, fashion, broadcast, and spatial-computing developers [gracia.ai] [TechFundingNews, December 2025] [EU Tech Future]. That makes the most relevant analogues the broader markets for creator software, immersive-content tooling, and enterprise spatial computing, even though none of those categories map perfectly to Gracia's narrower workflow layer.
Demand appears to be driven less by consumer headset adoption alone and more by a production-side bottleneck. Gracia's own materials describe an end-to-end system for capturing, processing, distributing, and rendering volumetric video, while outside coverage argues that older mesh-based approaches struggled with motion fidelity, fine detail, and human reconstruction [gracia.ai] [Forbes, December 2025]. If that framing is directionally right, the market opening is not simply "more 3D content". It is a need for production infrastructure that can turn synchronized camera footage into assets usable across film, VFX, web, and headset environments without the quality loss that limited prior workflows [gracia.ai/careers/cto] [Forbes, December 2025].
The strongest tailwinds in the cited research are adjacent-platform expansion and cross-format distribution. Coverage says Gracia content can be viewed on Meta Quest, Apple Vision Pro, PCVR headsets, desktop systems, and mobile devices, and that the company offers plugins or SDKs for Unity, Unreal Engine, Blender, and Adobe After Effects [EU Tech Future]. Even allowing for company-influenced sourcing, that matters because it suggests the addressable demand is not confined to one hardware cycle or one buyer archetype. A toolchain that serves VFX teams, experiential marketers, broadcasters, and XR developers can participate in several budgets at once, which is often how niche infrastructure markets become investable before they become large in headline-research terms [TechFundingNews, December 2025] [GamesBeat, June 2024].
Adjacent and substitute markets also shape the opportunity. The nearest adjacencies are conventional VFX pipelines, 3D scanning and photogrammetry workflows, game-engine based virtual production, and immersive brand experiences, all of which can absorb higher-fidelity human capture if integration friction is low [gracia.ai/vfx-filmmaking] [GamesBeat, June 2024]. The substitutes are less direct but relevant: teams can continue using mesh-based volumetric methods, standard video, CGI-heavy pipelines, or lower-cost 3D asset creation tools when fidelity requirements or budgets do not justify a new capture stack [Forbes, December 2025]. That substitution risk usually keeps early infrastructure vendors in project-based or premium workflows until their tooling becomes simpler and cheaper to deploy.
Macro and regulatory forces are present, but the public evidence here is thin, so any conclusion should stay narrow. The main macro support visible in the sources is continued investor and media-company interest in spatial computing and mixed reality, seen in Gracia's reported backing from sector-aware investors and its cited compatibility with headset and web distribution targets [TechFundingNews, December 2025] [GamesBeat, June 2024] [EU Tech Future]. The more practical constraint is operational rather than regulatory: volumetric capture, processing, and rendering remain technically demanding, which can slow adoption outside premium productions unless infrastructure vendors lower complexity enough for repeat use [gracia.ai/careers/cto] [Forbes, December 2025].
| Market lens | Public sizing claim | Relevance to Gracia AI |
|---|---|---|
| 4D Gaussian Splatting infrastructure | No named third-party market size located in the cited public sources | Direct category, but unsized in current source set |
| Volumetric video and VFX tooling | Analogous market only, described through production use cases across film, broadcast, and fashion [TechFundingNews, December 2025] [GamesBeat, June 2024] | Closest workflow analogue |
| XR and spatial computing content tools | Analogous market only, supported by reported distribution across Meta Quest, Apple Vision Pro, PCVR, desktop, and mobile [EU Tech Future] | Important downstream demand surface |
| Creative software and engine ecosystems | Analogous market only, supported by reported integrations with Unity, Unreal Engine, Blender, and After Effects [EU Tech Future] | Useful proxy for ecosystem fit |
The table shows the current limitation plainly: the category is strategically legible before it is numerically well-benchmarked. For investors, that usually shifts the work from top-down sizing toward bottom-up tests of repeatability, integration depth, and whether adjacent-budget demand is turning into a real software market rather than isolated creative projects.
Inferred, not confirmed -- This section relies on a mix of company materials and single-source coverage, with no confirmed third-party market-sizing report specific to 4D Gaussian Splatting infrastructure.
Who Else Is Fighting for This
MIXED Gracia AI is positioning itself less as a destination app and more as production infrastructure, which places it in a narrower contest with volumetric-capture platforms and 3D scene-generation tooling rather than with consumer XR publishers [gracia.ai, TechFundingNews, December 2025].
| Company | Positioning | Stage / Funding | Notable Differentiator | Source |
|---|---|---|---|---|
| Gracia AI | Volumetric-video infrastructure for professional creators, built around 4D Gaussian Splatting workflows | Seed, about $2.9M disclosed | End-to-end workflow spanning capture, processing, distribution, and rendering, with reported SDK and plugin ambitions across game engines and creative tools | [TechFundingNews, June 2024] [TechFundingNews, December 2025] [gracia.ai] [EU Tech Future] |
| 8i | Volumetric human capture and immersive-content platform | Funding stage not established in the provided research | Longer-standing brand recognition in volumetric capture and immersive media | [Crunchbase] |
| Imverse | Volumetric-video and XR creation platform | Funding stage not established in the provided research | Established focus on immersive telepresence and real-time volumetric experiences | [Crunchbase] |
The relevant map breaks into three lanes. One lane is dedicated volumetric capture, where 8i and Imverse are the clearest named comparables in the record because they have spent years translating real people and spaces into navigable 3D media [Crunchbase]. A second lane is adjacent creator infrastructure, where Gracia appears to be courting Unity, Unreal Engine, Blender, and Adobe After Effects users through reported plugins and SDKs, which makes conventional VFX and 3D software part of the substitute set even when those vendors are not direct volumetric specialists [EU Tech Future]. A third lane is immersive distribution, including headsets and web playback, where the battle is less about owning an audience and more about fitting into whichever runtime, device, or production stack a studio already uses [EU Tech Future] [gracia.ai].
The edge, such as it is from public evidence, sits in technical orientation and founder fit rather than in scale. Gracia is described as an end-to-end 4D Gaussian Splatting system for capture through rendering, and multiple sources frame that as an attempt to move past older mesh-based volumetric methods that struggled with motion and human detail [gracia.ai] [Forbes, December 2025]. That matters because professional buyers often prefer fewer handoffs across the pipeline, but the durability is still uncertain: 4DGS is a fast-moving technique, and product claims around WebSDK performance, multi-device deployment, and use in VFX pipelines remain largely company-led or lightly corroborated, which makes the current edge more perishable than entrenched [Andrey Volodin - Gracia AI | LinkedIn, 2026] [FoundersToday] [EU Tech Future].
Gracia is most exposed where incumbency and installed workflows matter more than novelty. 8i's advantage, based on its longer-standing presence in volumetric capture, is familiarity with the category and a head start in customer education, while Imverse benefits from being associated with real-time immersive use cases that overlap with XR deployment [Crunchbase]. Gracia also does not appear, from the cited record, to own a distribution channel, hardware platform, or large proprietary marketplace, so it is dependent on creators, studios, and downstream platforms to pull its tooling into production. That leaves it vulnerable if larger creative-software ecosystems absorb 4DGS-style workflows into broader suites faster than an independent specialist can build sales reach [EU Tech Future] [gracia.ai].
The most plausible 18-month scenario is a bifurcation between specialist infrastructure and workflow absorption. Winner if production teams prioritize fidelity and flexible deployment across film, VFX, web, and XR is Gracia, because its pitch is explicitly organized around infrastructure rather than a single viewing endpoint [gracia.ai] [TechFundingNews, December 2025]. Loser if buyers instead prefer established vendors with existing capture relationships and lower integration risk is Imverse or another specialist without a clearly differentiated full-stack toolchain, since the category can compress quickly when adjacent creative platforms fold similar capabilities into broader products [Crunchbase] [EU Tech Future]. That said, public evidence is still too thin to call durable share leadership among the named players.
Opportunity
Upside Case
PUBLIC The prize here is not a single creator tool, but the chance to become core infrastructure for photorealistic volumetric media as film, VFX, XR, and spatial computing workflows move from experiments into recurring production budgets.
The headline opportunity is straightforward: Gracia AI could become the default production and delivery layer for 4D Gaussian Splatting based volumetric video if the category settles around infrastructure rather than bespoke studio services. That outcome is reachable, not merely rhetorical, because the company is positioned around the full pipeline, capture through rendering, rather than a narrow point tool [gracia.ai, Unknown]. Public reporting also points to early use across multiple end markets, including film and VFX, fashion activations, mixed reality attractions, and creative R&D with global technology companies, which matters because infrastructure businesses usually strengthen when one technical stack can support several buyer groups [gracia.ai, Unknown] [FoundersToday] [Menlo Times] [TechFundingNews, December 2025]. The funding base is still small at a disclosed $2.9 million across two seed rounds, but the investor set includes specialist XR and frontier-tech backers, which is consistent with a company being financed for category formation rather than short-term agency revenue [TechFundingNews, June 2024] [TechFundingNews, December 2025].
A few paths to scale stand out from the public record.
| Scenario | What happens | Catalyst | Why it's plausible |
|---|---|---|---|
| Embedded in VFX pipelines | Gracia becomes the production system that studios and post houses use to capture, process, and render volumetric performances for premium film and episodic work | A named studio deployment or broader adoption of its film and VFX workflow | Gracia already markets directly into film and VFX, and coverage says its 4DGS system is being tested in next-generation VFX pipelines [gracia.ai, Unknown] [FoundersToday] |
| Default web and XR delivery stack | Gracia's SDK layer becomes the easiest way for developers and brands to ship streamed volumetric experiences across headsets, web, desktop, and mobile | Wider rollout of its WebSDK and cross-platform deployments on devices such as Meta Quest and Apple Vision Pro | Public materials describe custom SDKs and plugins, plus support for Unity, Unreal Engine, Blender, Adobe After Effects, and multiple viewing surfaces, which suggests a developer-platform path rather than a one-off content studio [Dealroom] [EU Tech Future] [LinkedIn] |
| Enterprise volumetric infrastructure | Gracia wins recurring platform revenue from large technology, broadcast, and experience operators that need reusable 4D capture and rendering workflows | A category-tipping customer in broadcast, live events, or location-based entertainment | Careers material and funding coverage describe work with Big Tech companies, broadcasters, fashion brands, and professional creators, while named projects such as Karl Kani and PortAventura indicate willingness from enterprise buyers to test the format in public-facing environments [gracia.ai, Unknown] [TechFundingNews, December 2025] [Menlo Times] |
The compounding logic is credible if the product actually reduces the friction that has historically held volumetric media back. Earlier volumetric approaches often struggled with mesh quality, motion handling, and the reconstruction of people, according to Forbes, and Gracia's pitch is that 4D Gaussian Splatting improves realism and motion fidelity while preserving real-time viewing [Forbes, December 2025]. If that claim holds in production, each customer deployment should generate three reinforcing advantages: more proprietary know-how on capture and processing edge cases, deeper integrations into content tools and runtime environments, and higher switching costs once an enterprise pipeline is built around Gracia's SDKs and plugins [gracia.ai, Unknown] [EU Tech Future]. The first signs of that flywheel are visible in the breadth of surfaces already described publicly, from VFX to runway experiences to mixed-reality attractions, because platform businesses compound faster when one technical core can be repurposed across many formats [gracia.ai, Unknown] [TechFundingNews, December 2025] [Menlo Times].
The size of the win is still best expressed as a scenario, not a forecast, because public market anchors for this exact category are limited. A reasonable upside framing is strategic value rather than near-term standalone public-market comparability: if Gracia became a widely adopted infrastructure layer for volumetric capture and rendering across premium media and XR, it could resemble the kind of enabling asset that larger platform companies, engine vendors, cloud providers, or media-tech consolidators acquire to control workflow bottlenecks. The evidence that makes that worth taking seriously is the company's full-stack positioning, cross-platform delivery ambition, and early project validation in commercial environments rather than lab-only demos [gracia.ai, Unknown] [EU Tech Future] [TechFundingNews, December 2025]. With only seed-stage funding disclosed so far, the gap between current scale and a strategic-infrastructure outcome remains wide, but the asymmetry is clear: if volumetric media becomes a standard content format, ownership of the production stack could be worth far more than ownership of any single title or activation (scenario, not a forecast).
Single-source, plausible -- This section relies on one independent funding source set and several company or lightly corroborated product and deployment sources, with no public market comparable or confirmed market size data.
Sources
From the public record
[TechFundingNews, June 2024] Gracia AI snaps $1.2M for AI-powered ultra-photorealistic volumetric videos for VR and AR | https://techfundingnews.com/gracia-ai-snaps-1-2m-for-ai-powered-ultra-photorealistic-volumetric-videos-for-vr-and-ar/
[TechFundingNews, December 2025] Gracia AI lands $1.7M for AI-powered ultra-photorealistic volumetric videos for VR and AR | https://techfundingnews.com/gracia-ai-lands-1-7m-for-ai-powered-ultra-photorealistic-volumetric-videos-for-vr-and-ar/
[gracia.ai] Gracia | https://gracia.ai/
[The AI Journal, December 2025] Gracia AI Raises $1.7M to Build the First Full-Stack Infrastructure for 4D Gaussian Splatting | The AI Journal | https://aijourn.com/gracia-ai-raises-1-7m-to-build-the-first-full-stack-infrastructure-for-4d-gaussian-splatting/
[gracia.ai/careers/cto] Gracia AI is a volumetric-video infrastructure startup | https://gracia.ai/careers/cto
[EU Tech Future] Gracia AI raises $1.7M to build 4D Gaussian Splatting | https://eutechfuture.com/artificial-intelligence/gracia-ai-builds-the-first-production-infrastructure-for-4d-gaussian-splatting/
[Forbes, December 2025] Meet Gracia AI, The Startup Building The Future Of Volumetric Video With 4D Gaussian Splatting | https://www.forbes.com/sites/charliefink/2025/12/12/meet-gracia-ai-the-startup-building-the-future-of-volumetric-video-with-4d-gaussian-splatting/
[Crunchbase] GRACIA.AI - Crunchbase Company Profile & Funding | https://www.crunchbase.com/organization/gracia-ai
[GamesBeat, June 2024] Gracia AI raises $1.2M for creating photorealistic volumetric spatial videos | https://gamesbeat.com/gracia-ai-raises-1-2m-for-creating-photorealistic-volumetric-spatial-videos/
[Menlo Times] Expedition ULUM: The Jurassic Awakening | https://www.menlotimes.com/expedition-ulum-the-jurassic-awakening/
[LinkedIn] Gracia AI | LinkedIn | https://www.linkedin.com/company/gracia-ai
[gracia.ai/vfx-filmmaking] 4D Gaussian Splatting for Film & VFX - Gracia AI | https://gracia.ai/vfx-filmmaking
[FoundersToday] Gracia AI recently powered the first 4DGS runway experience for Karl Kani | https://founderstoday.news/gracia-ai-recently-powered-the-first-4dgs-runway-experience-for-karl-kani/
[Dealroom] Gracia AI company profile | https://app.dealroom.co/companies/gracia_ai
Articles about Gracia AI
- Gracia AI's WebSDK Puts a Volumetric Studio in the Browser — The London startup, founded by former Prisma employees, is betting its developer tools will become the standard for capturing and rendering immersive content.