Imagine trying to build a movie scene where digital characters and real actors interact perfectly, but the software tools don't talk to each other. This project created a universal translator and a shared toolbox so different XR apps can work together seamlessly. It makes creating high-end virtual worlds as fast and flexible as plugging and playing different electronic devices.
XR content creation is often slowed down by proprietary software silos and incompatible data formats. This creates bottlenecks in virtual production and limits the ability to iterate content in real-time.
A complete media pipeline for XR content including over 20 tools/APIs such as The Vault, OpenAssetIO, and DataHub. It includes a Data Manifest for XR tools to ensure seamless asset transfer.
If you are a studio dealing with slow rendering and incompatible software for LED walls — this project developed a pipeline of over 20 tools and APIs that enables real-time processing. This allows for better quality and greater efficiency in delivering XR media data.
If you are a developer dealing with fragmented data formats across different VR/AR platforms — this project developed the Data Vault and OpenAssetIO. These tools ensure that high-quality assets move smoothly between different XR tools without losing data.
If you are an agency dealing with the high cost of proprietary software locks — this project developed a system based on open APIs and open source tools. This allows you to integrate new tools easily and create more interactive content for consumers.
Based on available project data, the project emphasizes open APIs and open source tools, but specific commercial pricing for the resulting pipeline is not mentioned.
Yes, the project demonstrated interoperability across 3 relevant use-cases and 18 different scenarios, indicating a capacity for industrial application.
The project is built on open APIs and open file formats to encourage development and the integration of both open source and proprietary tools.
Integration is a core focus, as the pipeline uses open data transfer formats and APIs specifically designed to support the addition of new tools.
The project was a 30-month initiative ending on 2025-02-28, with all 35 deliverables submitted on time.
The consortium is heavily industry-weighted with a 55% industry ratio, comprising 6 industrial partners and 1 SME. This balance, combined with 3 universities and 1 research center across 5 countries, suggests the project was driven by commercial viability and practical application rather than purely theoretical research.
Contact Universidad Pompeu Fabra regarding the MAX-R pipeline and open API specifications.
Contact us to identify which of the 20+ new XR tools fit your production pipeline.
