Corporare Systems
Corporare Systems develops Facet, a high-fidelity 3D capture tool that reconstructs detailed surface geometry of real-world objects directly from an iPhone. The software aims to match or exceed the precision of structured-light scanners without bulky hardware, serving creators, designers, and innovators who need precise digital models for applications like 3D printing, product prototyping, and AR/VR experiences. Facet is currently in alpha testing.
- Creator / Creative Economy
- Artificial Intelligence
- Software Only
Funding
Founders
Founder details are not available yet.
Product
Problem
Traditional photogrammetry and mobile 3D capture tools struggle to reproduce fine surface detail, often requiring extensive manual cleanup or expensive structured-light scanners to achieve usable precision. This "last inch" of accuracy gap limits accessibility for creators and designers who need high-fidelity digital representations of real-world objects.
Solution
Facet, developed by Corporare Systems, is a high-fidelity 3D capture tool that delivers detailed surface geometry of complex, real-world objects straight from an iPhone. The software captures high-precision geometry with ease, in many cases matching or exceeding the fidelity of structured-light scanners without requiring bulky hardware or complex setup. By integrating advanced 3D vision technology, Facet transforms rich sensory input into structured, high-fidelity digital assets that both humans and machines can analyze, interact with, and reason about. The tool is currently available to alpha testers, allowing early users to contribute to the development of accessible 3D technology.
Target Audience
Primary users are creators, designers, and innovators who need precise 3D models of real-world objects, as well as industries such as robotics, manufacturing, healthcare, and entertainment that require spatial intelligence and digital twin creation.
Features
- High-precision 3D reconstruction from iPhone camera inputs, achieving fidelity comparable to structured-light scanners
- Advanced machine learning and geometry processing pipeline that preserves fine surface details
- Streamlined capture workflow that eliminates the need for specialized hardware or complex manual setup
- Designed for select iPhone models initially, with planned expansion to broader input sources
- Built on research spanning computer graphics, physics simulation, and geometry processing