Participated in CIPSEC (2016–2019), focused on protecting critical infrastructure through anomaly detection and defense against denial-of-service attacks.
EMPELOR GMBH
Swiss technology SME bridging cybersecurity and health data analytics in EU research consortia.
Their core work
EMPELOR GmbH is a Swiss technology SME based in Zug that contributes specialist capabilities to large, multi-partner EU research consortia. Their project record spans two distinct but converging domains: cybersecurity for critical infrastructure (anomaly detection, denial-of-service defense) and data-driven public health analytics (hearing loss management using big data). This combination suggests a core competency in data analysis and pattern recognition that can be applied across both security and health contexts. As a Zug-based SME — a hub for technology and financial services firms — they likely bring applied software or analytics capabilities rather than laboratory research.
What they specialise in
CIPSEC keywords specifically highlight early anomaly detection as a core technical theme, suggesting algorithmic or sensor-based detection capability.
Participated in EVOTION (2016–2020), a project fusing big data sources for evidence-based management of hearing impairments and public health policy.
Involvement in both a security anomaly detection project and a big data health project points to a transferable analytical methodology applied across sectors.
How they've shifted over time
Both of EMPELOR's H2020 projects began in 2016, so there is no temporal shift in the traditional sense — they entered EU research simultaneously in cybersecurity and health analytics. The CIPSEC project (ending 2019) carried all of the explicit technical keywords around infrastructure protection and threat detection, while EVOTION (ending 2020) extended their engagement into health data and policy. The trajectory suggests a gradual pivot from security-first analytics toward health and public sector data applications, though the dataset is too small to confirm this as a deliberate strategic shift.
EMPELOR appears to be moving from pure cybersecurity into broader data-intensive domains, with health analytics as their most recent H2020 footprint — making them a plausible partner for projects combining data security with sensitive health or infrastructure datasets.
How they like to work
EMPELOR has never led an H2020 project — both participations are as a consortium partner, suggesting they prefer or are suited to a specialist contributor role within larger initiatives. With 27 unique partners across just 2 projects, they operate inside substantial consortia (averaging 13–14 partners per project), which is typical of RIA and IA grants in security and health. There is no evidence of recurring partnerships with the same organizations, indicating they are comfortable entering new networks rather than relying on a fixed circle of collaborators.
EMPELOR has collaborated with 27 distinct organizations across 11 countries through just two projects — indicating dense, well-connected consortia rather than bilateral partnerships. Their network spans Europe and likely includes research institutes, technology firms, and public bodies typical of CIPSEC and EVOTION consortia.
What sets them apart
EMPELOR is one of the few Swiss private SMEs active in H2020 that spans both the security and health pillars — an unusual combination that positions them for projects where data protection and health data governance intersect. Their Zug base places them in a dense technology and financial services ecosystem, which may give them commercial links that pure research partners lack. For a consortium needing a smaller, agile commercial partner with cross-domain analytics experience, EMPELOR fills a niche that larger research institutes typically cannot.
Highlights from their portfolio
- CIPSECA multi-country Innovation Action directly targeting the protection of critical infrastructure through cybersecurity frameworks — a high-stakes policy-relevant domain that attracted significant EU interest in the 2016 call.
- EVOTIONA long-running (2016–2020) Research and Innovation Action using big data fusion for hearing health policy — notable for its ambition to translate population-level health data directly into public policy recommendations.