If you are a studio dealing with high costs of location scouting and set design — this project developed 3D digital models of cultural sites and lighting simulation modules that allow you to visualize and test scenes virtually before filming.
AI-Powered Digital Production Suite for Film and Cultural Heritage Content
Imagine a digital library that doesn't just store files, but understands the history and culture of a place. It creates highly detailed 3D maps of ancient sites so filmmakers can plan scenes virtually before ever visiting. It also uses AI to predict what audiences want to see, helping studios pick the right stories and marketing channels.
What needed solving
Filmmakers face high costs in location scouting and risk financial loss due to poor audience matching during distribution. There is also a lack of high-quality, editable 3D digital assets of cultural sites for virtual production.
What was built
A platform featuring a Media Asset Manager, 3D reconstruction tools for monuments, an AI audience preference scout, and a recommendation/distribution engine.
Who needs this
Who can put this to work
If you are a distributor dealing with unpredictable audience reception — this project developed an AI-based audience preferences scouting tool and recommendation engine to match films with the right viewers and advertisement channels.
If you are a heritage site manager dealing with the need to digitize physical assets — this project developed a DataLake and 3D reconstruction tools to create editable digital twins of monuments for commercial use in media.
Quick answers
What is the cost or price of the platform?
Based on available project data, no commercial pricing is listed, but the project received an EU contribution of EUR 3,966,875 for development.
Can this be scaled to an industrial level?
The project is designed for the global filmmaking industry and includes 7 industrial partners, suggesting a focus on industrial scalability.
What are the IP and licensing terms?
Based on available project data, specific licensing terms are not provided, though the project involves a consortium of 14 partners across 7 countries.
How does it integrate with existing workflows?
The system integrates a Media Asset Manager and a distribution engine to cover the pipeline from early planning to audience playback.
What is the development timeline?
The project period runs from 2023-02-01 to 2026-01-31.
Who built it
The consortium is heavily weighted toward commercial application, with a 50% industry ratio (7 industrial partners, including 6 SMEs). This balance between 2 universities and 4 research centers ensures that the technical AI and 3D reconstruction work is grounded in the actual needs of the filmmaking market across 7 European countries.
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