“We transfer the latest research and development advances in data retrieval, analysis, annotation and linking into the media and content industries.”

Company Description

MODUL Technology GmbH is your partner in innovative solutions for media and data collection, annotation and linking, integrating extracted and external knowledge into existing workflows and powering new and extended user interfaces and applications such as: news event or topic detection, social media retrieval and organisation, TV/video enrichment with related information and content.

As a research and innovation spin-off of MODUL University Vienna, the Technology GmbH enables university faculty (as the technology experts) as well as hired researchers and developers to work on near-to-market R&D with a close collaboration with the University itself and support existing and future University spin-offs.

It was founded in 2015 as part of the exploitation plans of the LinkedTV project, in order to continue to coordinate LinkedTV technology development and promote it to industry. It has access to technology experts from throughout the Department of New Media Technology, which conducts cross-disciplinary research on knowledge acquisition, semantic Web annotation, human-computer interaction, data analytics, natural language processing and multimedia description and linking. Its first project collaboration has been to develop solutions for news topic detection and social media retrieval in the InVID project, together with its commercial technology partner webLyzard technology.



ReTV aims to provide broadcasters and content distributors with technologies and insights to leverage the converging digital media landscape. By advancing the start of the art in the analysis of this media landscape and providing novel methods to dynamically re-purpose content for an array of media vectors (= all relevant digital channels), a Trans-Vector Platform (TVP) will provide these stakeholders with the ability to “publish to all media vectors with the effort of one”. It will empower broadcasters and consumer brands to continuously measure their brand reputation, and to compute success metrics that predict reach and audience engagement of content and advertisements across vectors. This will allow editors, program planners and communication managers to optimize decision making processes.

MODUL Technology will provide the innovation solutions for structured media content annotation and content-based recommendations using predictive analytics.



In video veritas, if we divert the old Latin saying: In video, there is truth! The digital media revolution and the convergence of social media with broadband wired and wireless connectivity are bringing breaking news to online video platforms; and, news organisations delivering information by Web streams and TV broadcast often rely on user-generated recordings of breaking and developing news events shared by social media to illustrate the story. However, in video there is also deception. Access to increasingly sophisticated editing and content management tools, and the ease in which fake information spreads in electronic networks requires reputable news outlets to carefully verify third-party content before publishing it, reducing their ability to break news quickly while increasing costs in times of tight budgets.

InVID will build a platform providing services to detect, authenticate and check the reliability and accuracy of newsworthy video files and video content spread via social media. MODUL Technology provides solutions to detect news events from social media streams and collect references to videos posted on social networks that claim to show those events for verification.


MODUL Technology starts collaboration on analytics platform for TV content

A key concern of TV providers is to exploit the rapidly expanding digital possibilities for networking and publishing quickly and accurately. Now international experts, with significant contributions from Austrian partners MODUL Technology and webLyzard, are beginning to address this problem. The EU project ReTV, funded to the tune of 3.5 million euros, will provide TV providers with a basis for decision-making with a view to adapting existing content to today’s enormous range of digital networks quickly and efficiently.                                                      

Leading media technology experts across Europe have joined forces to enable TV providers to be more agile and responsive to increasing competition from new digital media. Their declared goal is to develop a “trans-vector platform” that provides TV providers with fast, reliable information on who consumes their content as well as when, where and how they do so. It will enable providers to make sound decision-making about future publication of content on those social networks and digital distribution channels as well as where content adaptation is likely to pay off.

Targeted Adaptation

Dr. Lyndon Nixon, CTO of MODUL Technology and assistant professor at the Institute for New Media Technology at MODUL University Vienna comments: “TV providers have to distribute their content through multiple channels such as social media, mobile apps, hybrid TV and digital archives. But compared to print media – which face similar pressures – their content is technically much more complex. Deciding which content should be adapted and in what way is therefore essential for meeting the demands of consumers in a cost-effective manner.”

This is where the ReTV project comes in. The project is coordinated by Vrije Universiteit (VU) Amsterdam, which brings together MODUL Technology and webLyzard as well as other partners from Germany, Switzerland, Greece and the Netherlands. The cooperative project is divided into three clearly defined sections, the results of which will be of enormous value to TV providers. In addition to “aggregation”, i.e. the establishment of a steadily growing directory of TV content, “analysis” and “adaptation” of such content are key elements of the project.

Aggregation & Annotation

More than 10,000 hours of video content and over 50 million documents will be collected and processed from news sources, social media and TV station websites every month. This huge volume of data will then be automatically analysed, and relevant metadata will be appended to every document. Besides “hard” facts, such as links, names and salient visual features, the metadata contain an automatic evaluation of online mood regarding the topics, persons or organizations mentioned in the content. 

Analysis & Adaptation

Professor Arno Scharl, Managing Director of collaborating partner webLyzard, describes how ReTV works: “In the analytical stage, the webLyzard platform is used to capture content trends in social media. This allows intelligent recommendations to be made regarding the adaptation of existing content and the focus for new productions. In this way ReTV will help to optimise advertising strategies, for example by referencing socially relevant topics that are currently being actively discussed by consumers.”

In addition, ReTV will make forecasts about the optimal timing of the release and expected success of original and adapted content. Thanks to the continuous collection and processing of relevant data from a wide range of different sources, the system is also able to learn. If the actual success achieved deviates from predictions, the system will automatically be optimised. In the coming years, ReTV will thus strengthen the competitive situation of European media companies in today’s networked, global market for video content.

Linked Television

Link your media to additional information and content easily and powerfully, giving your media consumers a wholly new media experience. 

The Linked Television technology set can analyse your audiovisual content, richly annotate the media in terms of its structure and content and semi-automatically generate links to related information and content about the concepts and topics in the annotation. These links can then be synchronized to media playback, enabling single or multi-screen applications for enhanced media consumption. Let MODUL Technology GmbH co-ordinate your Linked Television project – contact us!


Media Mixer

Technologies to help content owners and others re-use and re-mix their content.

Media Mixer combines the latest, innovative multimedia technologies to enable enterprises to richly annotate their media assets and use those annotations for flexible and powerful media re-use and re-mix scenarios, both internally and making their media available for new uses by third parties. MODUL Technology GmbH offers consultancy, training and technology transfer on the whole set of Media Mixer technologies: media analysis, annotation, fragmentation, rights management and asset organisation.

Meet the Team

Technology projects are handled by:


Dr. Lyndon Nixon (CTO) brings his more than 15 years of R&D experience to MODUL Technology projects, defining and developing new innovations in media annotation, linking and re-use. His experience includes scientific coordinator for the LinkedTV project and project coordinator of several EU and national projects including MediaMixer.  He is  currently Workpackage Leader in the InVID and ReTV projects.
Maximilian Lang (Project Manager) ensures a smooth execution of our projects from kick-off through to the successful conclusion. He has experience administrating many EU and national research projects.
Rod Coronel (researcher) works in the InVID project on social media content ingestion.
Fabian Fischer (researcher) works in the InVID project on the NLP pipeline, keyword extraction from text and capturing lexical knowledge.
Daniel Fischl (researcher) works in the InVID project on news story detection from social media streams and the UI/UX for the browsing/visualisation of news stories

What we offer


  • Consultancy. Find out your media content and metadata requirements and how innovative technologies can help you better manage, re-use and enrich your content!
  • Technology transfer. We develop concepts and demonstrators for you, configure and customise the technology you need and can create a full end-to-end solution for your data and media needs.
  • Knowledge transfer. We can train your staff in new media technology or offer remote support from our experts.


  • Topic detection from data streams.
  • Data retrieval based on real-time changing topics
  • Online and social media content collection
  • Rich media annotation including entity recognition and linking to resources in public Knowledge Graphs (DBPedia, WikiData etc.)
  • Media linking and browsing, including semantic search, faceted navigation and semantic similarity measures

Contact us


MODUL Technology GmbH

Am Kahlenberg 1

1190 Vienna, Austria