Global Objects provides an end‑to‑end ecosystem for creating, managing, and monetizing high‑fidelity 3D digital twins of real‑world locations, objects, and cultural assets.
Funding
Funding not disclosed
Founders
Product
Problem
Creating photorealistic, high‑fidelity 3D representations of real‑world locations, objects, and cultural assets requires expensive hardware, specialized expertise, and complex data pipelines. Without an integrated workflow, studios, developers, and institutions must assemble disparate tools to capture, process, store, and license these assets, leading to high costs and long turnaround times.
Solution
Global Objects offers an end‑to‑end ecosystem that turns physical environments and items into ready‑to‑use 3D digital twins. Its GO Capture division provides Capture‑as‑a‑Service, using drone photogrammetry, terrestrial scanning, and sub‑millimeter LiDAR to generate ultra‑precise geometry and texture data. Captured datasets are automatically processed through a proprietary SaaS pipeline that performs quality control, asset optimization, and neural‑rendering preparation. The resulting assets are hosted in the GO Ecosystem, a cloud‑based platform that stores, distributes, licenses, and deploys the twins to downstream workflows such as virtual production, VFX, simulation, and AI model training. This unified approach reduces the need for in‑house scanning equipment and custom pipelines, accelerating project timelines and enabling monetization of 3D assets.
Target Audience
Primary customers include film and VFX studios, game and XR developers, simulation and training providers, as well as museums, cultural institutions, and city planners that require high‑fidelity 3D replicas of real‑world assets.
Features
- Drone‑based aerial photogrammetry (GO Air) and terrestrial scanning (GO Splat) for large‑scale environments
- Sub‑millimeter LiDAR scanning (GO Laser) delivering extreme geometric precision
- Specialized prop and costume capture using volumetric (GO Wave) and surface micro‑detail (GO Ray) pipelines
- Automated SaaS processing that includes quality control, retopology, geometry compression, and neural rendering (Gaussian Splatting & Radiance Fields)
- Cloud‑native GO Ecosystem for secure storage, versioning, licensing, and API‑driven distribution to Unreal, Unity, and other engines
- AI‑ready dataset generation for training foundation models in computer vision, robotics, and generative AI
- DRM‑protected licensing and marketplace tools for monetizing digital twins