VOLUMA.AI

Cover Block

PUBLIC

Attribute	Value
Name	VOLUMA.AI
Tagline	The professional platform for 3D Gaussian Splatting to enrich, animate, and publish immersive spatial workflows.
Headquarters	Hilversum, Netherlands
Founded	2024
Stage	Pre-Seed
Business Model	SaaS
Industry	Media / Entertainment
Technology	AI / Machine Learning
Geography	Western Europe
Growth Profile	Venture Scale
Founding Team	Co-Founders (2)

Links

PUBLIC

• Website: https://voluma.ai/
• LinkedIn: https://nl.linkedin.com/company/voluma3dgs

Executive Summary

PUBLIC VOLUMA.AI is building a browser-based platform for creating, annotating, and publishing interactive 3D scenes using the emerging neural rendering technique of Gaussian Splatting, a bet that deserves investor attention for its early positioning in a nascent but rapidly evolving spatial computing stack. The company was founded in 2024 in Hilversum, Netherlands, by Marc van Vliet and his business partner Jack, initially as an internal tool to augment their own creative workflows [YouTube, 2024]. The core product is a "Spatial Publishing Platform" that allows users to upload or create Gaussian Splatting captures and then enrich them with text, images, markers, and 3D geometry to build interactive, web-deployable experiences [VOLUMA.AI, retrieved 2024]. Its differentiation lies in a focus on web-native deployment and interactive storytelling tools, including a unique "Timelapse Mode" for visualizing changes over time within a scene, features not commonly bundled in broader 3D creation suites [Radiance Fields, Apr 2024]. Co-founder Marc van Vliet brings over 17 years of experience at the intersection of creative technology and digital media, a background that suggests a practitioner-led understanding of the target user's needs [Marc van Vliet - LinkedIn, retrieved 2026]. No external funding rounds or investors have been publicly disclosed, indicating the company is likely bootstrapped or operating with minimal capital; it currently offers a freemium SaaS model with a free tier for up to ten scenes and full-service plans for professional use [Reddit, retrieved 2024]. Over the next 12-18 months, the key watchpoints will be the announcement of its first institutional funding round, the disclosure of named enterprise customers or partnerships to validate its commercial wedge, and its ability to maintain a feature lead as larger competitors in the 3D capture and visualization space begin to incorporate Gaussian Splatting capabilities.

Data Accuracy: YELLOW -- Product claims are well-documented by the company and a trade publication, but founder details and financials are partially corroborated by LinkedIn profiles only.

Taxonomy Snapshot

Axis	Classification
Stage	Pre-Seed
Business Model	SaaS
Industry / Vertical	Media / Entertainment
Technology Type	AI / Machine Learning
Geography	Western Europe
Growth Profile	Venture Scale
Founding Team	Co-Founders (2)

Company Overview

PUBLIC VOLUMA.AI emerged from a practical need. In a 2024 talk, founder Marc van Vliet described the platform as an internal tool built to manage 3D Gaussian Splatting scenes, which later evolved into a commercial product [YouTube, 2024]. The company was formally founded in 2024 and operates as a spatial publishing platform headquartered in Hilversum, Netherlands [Prospeo, retrieved 2024].

Its founding team consists of Marc van Vliet and a co-founder named Jack, though Jack's full surname is not detailed in public sources [YouTube, 2024]. Van Vliet brings over 17 years of experience at the intersection of creative technology and artificial intelligence, with a specific background in visual effects and graphics [Marc van Vliet - LinkedIn, retrieved 2026][YouTube, 2024]. The company's public timeline is brief, marked by the launch of its platform into public beta and the subsequent introduction of a "Timelapse Mode" feature in April 2024 [Reddit, retrieved 2024][Radiance Fields, Apr 2024].

Data Accuracy: YELLOW -- Core details confirmed by company website and founder profile; co-founder details partially corroborated.

Product and Technology

MIXED

VOLUMA.AI's product is a browser-based environment for creating, editing, and publishing interactive 3D Gaussian Splatting scenes. The platform's core function is to serve as a web-first authoring and deployment tool for a specific neural rendering technique, positioning it as a professional workflow solution rather than a simple viewer [VOLUMA.AI, retrieved 2024]. Users can upload or generate splatting scenes, then enrich them with annotations, including text, images, and additional 3D geometry, to create narrative-driven spatial experiences [VOLUMA.AI, retrieved 2024]. A key differentiator is the Timelapse Mode, which allows users to encode and visualize changes over time within a single 3D Gaussian Splatting volume, a feature highlighted in niche industry coverage [Radiance Fields, Apr 2024].

The technology stack is not explicitly detailed, but the product's architecture is inferred from its public positioning. The entire workflow, from editing to final viewer, is designed to operate in a web browser, suggesting a cloud-based backend for processing and a WebGL or WebGPU frontend for real-time rendering [Prospeo, retrieved 2024]. The company offers a freemium model, with a free tier allowing the creation and sharing of up to 10 scenes, and full-service plans available for professional use [Reddit, retrieved 2024] [VOLUMA.AI, retrieved 2024]. Founder Marc van Vliet has described the platform as an internal tool that evolved into a commercial product, indicating its development is closely tied to practical, hands-on use cases [YouTube, 2024].

Data Accuracy: YELLOW -- Product claims are sourced from the company's website and a founder interview, but technical implementation details and backend stack are not publicly confirmed.

Market Research

PUBLIC The commercial potential for VOLUMA.AI hinges on the adoption curve of 3D Gaussian Splatting, a nascent neural rendering technique that is beginning to move from academic research into professional workflows.

A formal TAM, SAM, or SOM for 3D Gaussian Splatting platforms is not yet established in third-party market research. The closest analogous sizing comes from the broader market for 3D content creation and visualization software. According to a report by Grand View Research, the global 3D animation software market was valued at approximately $21.5 billion in 2023 and is projected to grow at a compound annual growth rate of 11.5% from 2024 to 2030 [Grand View Research, 2024]. This serves as a rough proxy for the expansive, long-term opportunity in digital content creation, of which VOLUMA.AI's spatial publishing tools represent a specialized, emerging subset.

Demand drivers for this niche are tied to broader industry trends. The push for more immersive digital experiences across media, entertainment, and industrial applications is a primary tailwind. The technique's advantages, such as faster rendering and photorealism from sparse inputs compared to traditional methods like polygonal modeling, are noted in technical communities [Radiance Fields, April 2024]. This positions Gaussian Splatting as a potential tool for rapid prototyping, digital twin creation, and interactive storytelling, areas where speed and visual fidelity are critical. The company's focus on browser-based deployment directly addresses a key demand driver: the need to share and collaborate on 3D assets without requiring specialized desktop software or powerful local hardware.

Key adjacent and substitute markets that influence VOLUMA.AI's trajectory include the established ecosystems for photogrammetry software (e.g., RealityCapture), traditional 3D modeling suites (e.g., Blender, Maya), and the broader field of neural radiance fields (NeRF). The competitive dynamic is less about direct displacement initially and more about carving out a use case where Gaussian Splatting's specific benefits,particularly for web-viewable captures of real-world spaces,outweigh the maturity and tooling of incumbents. The regulatory landscape is currently quiet, but as with any platform handling spatial data, future considerations around data privacy (especially for indoor/private scans) and digital asset ownership could become relevant.

Metric	Value
3D Animation Software Market (2023)	21.5 $B
Projected CAGR (2024-2030)	11.5 %

The cited market size, while broad, underscores the substantial economic activity in 3D content creation that VOLUMA.AI is attempting to access with a novel technical approach. The growth rate suggests a receptive and expanding market, though VOLUMA.AI's success will depend on its ability to define and capture a specific segment within it.

Data Accuracy: YELLOW -- Market sizing is drawn from an analogous, broad sector report. Specific demand drivers for Gaussian Splatting are inferred from technical coverage and product positioning.

Competitive Landscape

MIXED VOLUMA.AI enters a nascent but rapidly forming market for 3D Gaussian Splatting tools, where its positioning as a browser-based spatial publishing platform carves a distinct niche from more established capture and reconstruction players.

Company	Positioning	Stage / Funding	Notable Differentiator	Source
VOLUMA.AI	Browser-based spatial publishing platform for enriching, animating, and deploying 3D Gaussian Splatting scenes.	Pre-Seed (2024). No public funding announced.	Focus on web deployment and interactive storytelling via annotations, markers, and Timelapse Mode.	[VOLUMA.AI, retrieved 2024]
Polycam	Mobile 3D scanning app for LiDAR and photogrammetry, with Gaussian Splatting export.	Seed and Series A backed (e.g., $18M Series A in 2022).	Strong mobile-first user base and smooth capture-to-export workflow for splats.	[Crunchbase, 2022]
Luma AI	AI-powered 3D capture and generation, featuring Gaussian Splatting from images/video.	Series A and B backed (e.g., $43M Series B in 2023).	Advanced neural rendering pipeline and integration with generative AI for scene creation.	[TechCrunch, 2023]
Postshot	Web-based tool for creating and editing Gaussian Splats from uploaded images.	Early-stage; funding details not public.	Pure web application requiring no software install, focused on simplicity.	[Swyvl, retrieved 2026]
Nerfstudio	Open-source framework for developing Neural Radiance Field (NeRF) and Gaussian Splatting pipelines.	Research project / community-driven.	Flexibility for researchers and developers to build custom pipelines; not a commercial product.	[GitHub, 2023]
SuperSplat	Desktop application for creating and editing high-quality Gaussian Splats.	Bootstrapped / indie developer project.	High-fidelity output and advanced editing controls for technical users.	[THE FUTURE 3D, 2026]

The competitive map segments into three primary layers. The capture layer is dominated by mobile-first tools like Polycam and Luma AI, which have built significant user bases by simplifying the process of turning phone photos into 3D assets, including Gaussian Splats. The research and framework layer includes open-source projects like Nerfstudio, which serve as foundational tools for the ecosystem but lack commercial polish. VOLUMA.AI operates in the emerging publishing and enrichment layer, focusing on the workflow that comes after a splat is created. Its direct competition here is limited; Postshot offers web-based creation but lacks VOLUMA.AI's annotation and deployment features, while SuperSplat is a desktop tool with a different use case.

VOLUMA.AI's current defensible edge is its early focus on the post-capture narrative and collaboration workflow. The platform's annotation system, marker-based storytelling, and unique Timelapse Mode for showing changes over time address a specific professional need not yet met by capture-focused competitors [Radiance Fields, Apr 2024]. This edge is tied to product execution and could be durable if the company builds a community of creators who standardize on its format for sharing interactive scenes. However, it is also perishable. The underlying technology, 3D Gaussian Splatting, is an open research area; larger, well-funded competitors like Luma AI could replicate the annotation and publishing features as a logical extension of their existing platforms.

The company's most significant exposure is its lack of an owned capture channel. Its value proposition assumes users have Gaussian Splat files to upload, which are predominantly created using tools from Polycam, Luma AI, or others. This creates a dependency on the interoperability and export policies of those platforms. Furthermore, VOLUMA.AI does not currently compete in the high-volume, consumer-facing capture market, ceding that ground and its associated network effects to the mobile app leaders. Its go-to-market and capital resources are also unproven against the venture-backed war chests of its indirect competitors.

The most plausible 18-month scenario hinges on whether the enrichment and publishing layer becomes a standalone market or gets absorbed as a feature. If professional demand for interactive, web-deployable 3D scenes grows rapidly, VOLUMA.AI could be the winner as the first-mover with a dedicated platform, attracting partnerships with agencies and media companies. In this case, a challenger like Postshot, which lacks the same depth of publishing features, could lose relevance. Conversely, if the primary value remains in the capture and generation of splats, the winner would be Luma AI, which could integrate basic sharing and annotation, making a standalone publishing tool redundant. VOLUMA.AI would then lose, relegated to a niche tool unless it can pivot or be acquired for its technology.

Data Accuracy: YELLOW -- Competitor data compiled from third-party industry reports and funding databases; VOLUMA.AI's positioning confirmed by its own materials.

Opportunity

PUBLIC

If VOLUMA.AI successfully converts its early technical lead in browser-based 3D Gaussian Splatting into a professional workflow standard, the prize is a foundational role in the spatial web's content creation layer.

The headline opportunity is to become the default spatial publishing platform for professional 3D Gaussian Splatting workflows, analogous to how Figma became the default for collaborative UI design. The evidence for this outcome being reachable, rather than purely aspirational, lies in the company's focus on a specific, emerging technical standard (Gaussian Splatting) and its early provision of a complete, browser-native toolchain for enrichment and deployment [VOLUMA.AI, retrieved 2024]. Founder Marc van Vliet describes the platform as having started as an internal tool, a common origin for products that later define a category by solving a practitioner's pain point directly [YouTube, 2024]. The company's public beta, offering a free editor and viewer, is a classic wedge to build an initial user base before monetizing professional features [Reddit, retrieved 2024].

Growth scenarios for VOLUMA.AI hinge on specific adoption triggers within the broader ecosystem of 3D content creation. The following table outlines three concrete paths to scale.

Scenario	What happens	Catalyst	Why it's plausible
Standardization in AEC & Digital Twins	VOLUMA.AI becomes the preferred tool for annotating and sharing interactive site scans and digital twin models.	A major architecture, engineering, and construction (AEC) software suite integrates VOLUMA.AI's viewer as a default export option for Gaussian Splatting data.	The platform's annotation and marker system is explicitly built for storytelling and collaboration around real-world captures, a core need in AEC workflows [VOLUMA.AI, retrieved 2024].
Embedded Tool for 3D Scanning Apps	The company's enrichment and publishing API becomes a white-label backend for popular 3D scanning applications like Polycam.	A formal partnership is announced where a scanning app uses VOLUMA.AI to power its "share and annotate" features, moving beyond simple viewer links.	The competitive landscape shows clear separation between capture tools (Polycam, Luma AI) and publishing platforms, creating a partnership opportunity [THE FUTURE 3D, 2026].
Media Production Workflow Adoption	VOLUMA.AI is adopted by film, TV, or virtual production studios for pre-visualization and location scouting using immersive splats.	A high-profile studio publicly details a production pipeline using VOLUMA.AI's Timelapse Mode to visualize set changes over time.	The company's unique Timelapse Mode feature is already noted by industry observers as a differentiator for visualizing temporal changes [Radiance Fields, Apr 2024].

What compounding looks like centers on a creator-led flywheel. Early professional users, drawn by the free tier to create and share annotated scenes, generate public gallery content that serves as marketing and demonstrates use cases. This attracts more users, whose diverse enrichment activities (adding text, images, 3D geometry) collectively expand the platform's library of reusable assets and templates. As the library grows, the platform becomes more valuable for new users, reducing the time to create a compelling spatial story. The browser-based deployment model compounds this effect, as each published scene is a live demonstration accessible to any potential client or collaborator without software installation, lowering adoption friction and enabling viral sharing within professional networks.

The size of the win can be framed by looking at a comparable in the 3D visualization space. Unity Technologies, a public company providing a real-time 3D development platform, reported a market capitalization of approximately $7.5 billion as of early 2025. While VOLUMA.AI operates in a much narrower niche, a successful outcome as the defining platform for spatial Gaussian Splatting publishing could support a valuation in the high hundreds of millions, should it capture a material portion of the professional visualization and digital twin software market. This is a scenario-based outcome, not a forecast, but it illustrates the potential scale if the company executes on one of the growth paths above.

Data Accuracy: YELLOW -- Opportunity analysis is based on product positioning and feature announcements; specific catalysts and partnership traction are not yet publicly confirmed.

Sources

PUBLIC

1. [YouTube, 2024] Voluma.ai: A 3D Gaussian Splatting Start-Up - Marc van Vliet | https://www.youtube.com/watch?v=eEu72LZnF48

2. [VOLUMA.AI, retrieved 2024] VOLUMA.AI | Spatial Publishing Platform | https://voluma.ai/

3. [Radiance Fields, Apr 2024] Voluma.ai adds Timelapse Mode | https://radiancefields.com/voluma-ai-adds-timelapse-mode

4. [Marc van Vliet - LinkedIn, retrieved 2026] Marc van Vliet - Co-Founder - VOLUMA.AI | LinkedIn | https://www.linkedin.com/in/mediamarc/

5. [Prospeo, retrieved 2024] VOLUMA.AI company overview | Not publicly available

6. [Reddit, retrieved 2024] r/GaussianSplatting on Reddit: 🌍 We Are LIVE - Voluma.ai is in public beta! 🚀 | https://www.reddit.com/r/GaussianSplatting/comments/1iidej8/we_are_live_volumaai_is_in_public_beta/

7. [Grand View Research, 2024] 3D Animation Software Market Size Report, 2024-2030 | Not publicly available

8. [Crunchbase, 2022] Polycam raises $18M Series A | Not publicly available

9. [TechCrunch, 2023] Luma AI raises $43M Series B | Not publicly available

10. [Swyvl, retrieved 2026] Creating Gaussian Splats: Postshot, Polycam, Luma | https://swyvl.io/blog/how-to-create-gaussian-splats/

11. [GitHub, 2023] Nerfstudio GitHub repository | Not publicly available

12. [THE FUTURE 3D, 2026] Gaussian Splatting Software Tools Compared (2026) | https://www.thefuture3d.com/blog/gaussian-splatting-software-tools-compared-2026