SciTransfer
XReco · Project

B2B Data Sharing Platform for Creating Immersive XR and 3D Media Content

digitalTestedTRL 6

Imagine a giant digital library where different media companies share 3D models and videos instead of keeping them locked in their own vaults. It's like a stock photo site, but for high-tech virtual reality assets that can be automatically reshaped to fit different devices. This makes it much cheaper and faster to build immersive experiences without starting from scratch every time.

By the numbers
22
partners
12
countries involved
64%
industry ratio
The business problem

What needed solving

Media companies keep their 3D and XR data in isolated silos, making it expensive and slow to produce immersive content for multiple platforms.

The solution

What was built

A Neural Media Repository (NMR) for B2B data sharing and a suite of AI services for 3D reconstruction, image stitching, and holoportation.

Audience

Who needs this

XR Content Production StudiosDigital News PublishersVirtual Tourism OperatorsAutomotive Infotainment Providers
Business applications

Who can put this to work

Journalism & Broadcasting
enterprise
Target: News Agency

If you are a news agency dealing with the high cost of producing 3D news reports — this project developed a Neural Media Repository that allows you to share and reuse assets across different channels. This reduces the effort needed to publish customized news for multiple targets.

Tourism
mid-size
Target: Destination Marketing Organization

If you are a tourism board dealing with static brochures that don't engage users — this project developed AI-based transformation services like 3D neural reconstructions. This allows you to create immersive location-based entertainment content to attract visitors.

Automotive
enterprise
Target: Car Manufacturer

If you are a car manufacturer dealing with complex 3D asset management for in-car entertainment — this project developed a data-driven ecosystem for sharing and discovering 3D assets. This helps in creating location-based information services for drivers.

Frequently asked

Quick answers

What is the cost or pricing model for using this platform?

Based on available project data, the project focuses on developing 'novel data monetization' policies, but specific pricing tiers or costs are not listed.

Can this be scaled to a global industrial level?

The project involves 22 partners across 12 countries, suggesting a design intended for cross-border industrial scale and inter-organisation sharing.

How is the intellectual property and licensing handled?

The project specifically addresses 'rights management policies' within its Neural Media Repository to manage how content is shared and monetized.

How does this integrate with existing media workflows?

It provides a B2B platform and AI-based transformation services, such as image stitching and de-lighting, to convert raw data into XR experiences.

What is the timeline for deployment?

The project runs from 2022-09-01 to 2025-10-31, with the first demonstrator phase ending in May 2024.

Consortium

Who built it

The consortium is heavily weighted toward commercial application, with a 64% industry ratio comprising 14 companies, including 3 SMEs. Led by Deutsche Welle, the group spans 12 countries, indicating a strong market-driven approach rather than a purely academic one, with only 3 universities and 3 research centers involved.

How to reach the team

Contact Deutsche Welle regarding the XReco B2B platform

Next steps

Talk to the team behind this work.

Contact us to connect with the XReco consortium for XR asset integration.