Central to InVID (video verification), ReTV (TV content analytics and audience profiling), and inDICEs (measuring digital culture impact).
WEBLYZARD TECHNOLOGY GMBH
Vienna-based SME specializing in web intelligence, media content analytics, and large-scale data processing across digital, cultural, and security domains.
Their core work
webLyzard Technology is a Vienna-based SME specializing in web intelligence, media analytics, and large-scale data processing. They build tools that extract insights from online content — verifying social media video, analyzing TV audiences, measuring digital cultural impact, and processing diverse data at scale using HPC and cloud infrastructure. Their core capability is turning unstructured digital content (video, text, web data) into structured, actionable intelligence for media, cultural, and security applications.
What they specialise in
EVOLVE focused on cloud-enabled testbeds and fast storage architectures for extracting value from large-scale diverse data.
inDICEs addressed digital transformation of cultural and creative industries, IPR, and European digital policy monitoring.
CRiTERIA applies their data analytics expertise to security, specifically comprehensive risk and threat identification from diverse data sources.
ReTV and inDICEs both involved visual analytics dashboards, viewer profiling, and content recommendation systems.
How they've shifted over time
webLyzard started in the media analytics space (2016-2018), with projects focused on video verification (InVID) and TV audience intelligence (ReTV) — classic content analytics work. From 2018 onward, their focus broadened significantly: they moved into HPC-scale data processing (EVOLVE), digital cultural policy measurement (inDICEs), and security-oriented risk assessment (CRiTERIA). The trajectory shows a company expanding from niche media analytics toward general-purpose data intelligence applied across multiple domains.
webLyzard is moving from media-specific analytics toward applying their data processing and visualization capabilities to security, cultural policy, and industrial domains — expect them to appear in more cross-sector data intelligence projects.
How they like to work
webLyzard operates exclusively as a consortium participant, never as coordinator — consistent with a specialist SME contributing specific technical components rather than managing entire projects. With 56 unique partners across 22 countries in just 5 projects, they work in large, diverse consortia (averaging 11+ partners per project). This suggests they are comfortable integrating into complex multi-partner setups and are seen as a reliable technical contributor rather than a project driver.
Broad European network spanning 56 unique partners across 22 countries from only 5 projects, indicating they consistently join large international consortia. No strong geographic concentration — their partnerships are spread widely across the EU.
What sets them apart
webLyzard occupies a distinctive niche at the intersection of web intelligence, media analytics, and large-scale data processing — they are not a generic IT company but a specialist in making sense of unstructured digital content. Their ability to apply the same core analytics stack across very different domains (media verification, cultural heritage, security threats, industrial data) makes them a versatile technology partner. For consortium builders, they bring a proven, portable data analytics capability that can be adapted to nearly any domain requiring insight extraction from complex online or media data.
Highlights from their portfolio
- ReTVLargest single project by funding (EUR 672,531), focused on TV content intelligence — the clearest expression of their core media analytics expertise.
- CRiTERIAMarks a significant pivot into the security sector (EUR 627,250), applying their data analytics capabilities to threat and risk assessment — a new domain for the company.
- InVIDTheir earliest H2020 project, addressing social media video verification for news — a timely topic that established their reputation in media content analysis.