MOD - Bring Digital Content to Life with AI

Alexandria Porter

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MOD helps media production companies create mind-blowing digital content using machine learning that automates complex, manual work. Using real-world images from photos, videos, and scans smart systems make 2D and 3D assets faster with only one-click. MOD tools work from idea to implementation. ...learn more

Project status: Published/In Market

Virtual Reality, oneAPI, HPC, Game Development, Artificial Intelligence, Graphics and Media, Cloud

Intel Technologies
DPC++, Intel Iris Xe MAX, Intel Deep Link, Intel Integrated Graphics, Intel Python, Intel Media SDK

Docs/PDFs [1]Links [4]

Overview / Usage

Mod is an automated AI-powered digital content creation platform for media and entertainment to make mind-blowing visuals. We use machine learning to help companies automate intricate, manual work. Our smart one-click systems transform real-world images, videos, and scans to create fully dimensional digital objects, characters, and environments up to 99% faster.

Digital content production for movies, games, XR or apps enabled by Deep Link. Creators can view people, objects, and worlds using game engines (Realtime production) or virtual remote production including collaboration from anywhere (virtual production) made possible by Intel Iris Xe MAX. Enabling live real-time remote visuals of high quality 2D or 3D images and assets without render farms allowing for review and revision on-site.

Methodology / Approach

Companies spend millions of dollars every year making movies, games, and other digital content. The process to create all this can take years, is very complicated, and often requires thousands of people with specialized skills. Distributed teams, outdated processes, and lack of talent are wreaking havoc on companies that already operate on razor-thin margins.

Content production is evolving at a very fast pace to overcome the obstacles that Covid-19 has put in place. In order to keep cast and crew safe production is shifting to virtual meaning, many companies are still deciding about staff changes and tech adoption right now. We’ve spent more than 15 years creating digital content for mobile, games, movies, and XR. The tools, workflows, and people that produce content are too technical, overly complicated, and require tedious manual processes. We know that our AI and automation can solve these problems by supporting the creators of tomorrow.

Technologies Used

Our technology stack is built to scale with proprietary machine learning increasing the workload capacity for cloud or on-premise processing. The significant improvement in delivery speed of assets is achieved by using AI to use compute power effectively making the hardware costs lower. The image fidelity is increased across multiple features and integration into any platform is possible with open file types. The whole system has been designed as a universal solution for imagery data and can be applied to many sectors as we grow.

Intel products including GPA, XeMax, Networking, Python, RealSense Cameras, Upboards, and others have been incorporated into our platform and mobile rigs for volumetric video and photogrammetry that our clients use.