Austrian SME building cross-media analytics platforms for security intelligence, threat detection, and criminal network analysis.
HENSOLDT Analytics is a Vienna-based SME that builds cross-media analytics platforms for security and intelligence applications. Their core technology processes and analyzes social media, text, and speech data to detect threats, track criminal networks, and identify disinformation. They provide analytical tools used in counter-terrorism, organized crime investigation, and migration-related risk assessment — essentially turning large volumes of unstructured media into actionable intelligence for law enforcement and security agencies.
Central to MIRROR (social media analysis for migration threats), ROXANNE (network and speaker analytics for organized crime), and TRUTHCHECK (fake news detection via cross-media analytics).
ROXANNE focused on real-time speaker analytics for combating organized crime, and CRiTERIA on comprehensive risk and threat assessment methods.
Coordinated TRUTHCHECK, an SME Phase 1 project on fake news recognition using service-based cross-media analytics.
Participated in ELG (European Language Grid infrastructure) and ROXANNE (speech analytics for criminal investigations).
CRiTERIA (2021-2024), their most recent project, focuses on comprehensive data-driven risk and threat assessment — signaling a move toward integrated threat platforms.
All five of HENSOLDT Analytics' H2020 projects began between 2019 and 2021, giving a compressed but readable trajectory. Their earlier projects (2019) spanned language technology infrastructure (ELG) and a feasibility study for fake news detection (TRUTHCHECK), alongside deep security work in migration analysis (MIRROR) and criminal network analytics (ROXANNE). By 2021, their most recent project CRiTERIA suggests a shift toward broader, more integrated threat and risk assessment — moving from specialized analytical modules toward comprehensive security intelligence platforms.
HENSOLDT Analytics is moving from building individual analytical tools (speech, text, social media) toward comprehensive, multi-source threat assessment platforms — expect them to seek partners in data fusion, AI explainability, and hybrid threat detection.
Primarily a participant (4 of 5 projects), contributing specialized analytics technology to larger security consortia. Their one coordination was TRUTHCHECK, an SME Phase 1 feasibility study, which is typical for SMEs testing a market concept before scaling. With 50 unique partners across 20 countries, they operate as a well-connected specialist contributor — plugging their analytics platform into diverse security research consortia rather than leading them.
Broad European network of 50 partners across 20 countries, built through participation in mid-to-large security consortia. Their reach across so many countries relative to just 5 projects indicates they join sizeable, multi-national security research groups.
HENSOLDT Analytics occupies a specific niche: they bridge language and media technology with security intelligence, providing the analytical engine that turns unstructured multilingual content into threat assessments. Unlike pure NLP companies, they are deeply embedded in the EU security research ecosystem with direct relevance to law enforcement and border security use cases. For consortium builders in security projects, they bring a proven cross-media analysis platform that has already been integrated into multiple EU security frameworks.
