Hungarian SME applying AI anomaly detection and cyber-physical security analytics to smart manufacturing and critical transport infrastructure.
Cyber Services is a Budapest-based technology SME specialising in applied cybersecurity and cyber-physical systems intelligence. Their core work centres on building AI-driven data analytics pipelines — using machine learning, IoT sensor data, and decision-support algorithms — to detect anomalies, forecast threats, and recommend mitigation actions in complex industrial and infrastructure environments. In HyperCOG they contributed to cognitive architecture for smart manufacturing plants; in SAFETY4RAILS they applied combined cyber-physical security analysis to metro and railway networks. Their practical value lies in translating raw operational data into actionable safety and security intelligence for end users.
Both HyperCOG and SAFETY4RAILS required machine learning and decision-support algorithms to detect abnormal states and forecast risk scenarios in real-time operational data streams.
HyperCOG addressed cyber-physical production plant architecture while SAFETY4RAILS explicitly targeted combined cyber-physical threat analysis for critical transport infrastructure.
HyperCOG listed IoT data analytics and sensing technologies as explicit contributions, pointing to hands-on integration of sensor networks with analytical platforms.
SAFETY4RAILS focused specifically on trans-modal metro and railway systems, developing the S4RIS safety information system for detection, prevention, and mitigation of incidents.
SAFETY4RAILS keywords include what-if-cases and innovative mitigation strategies, indicating the organisation contributes to simulation and planning tools for operators.
Cyber Services entered H2020 through HyperCOG (2019) with a manufacturing focus — cyber-physical production plants, IoT sensor integration, and AI-powered decision support for industrial operators. Their second project, SAFETY4RAILS (2020), retained the same analytical toolkit but pivoted the application domain toward transport security and critical infrastructure protection, introducing anomaly detection, incident forecasting, and end-user-focused safety information systems. The trajectory suggests a deliberate move from smart manufacturing toward safety-critical sectors where regulatory and security demands create stronger commercial pull.
Cyber Services is moving toward safety-critical infrastructure protection — applying a consistent AI/anomaly-detection capability to increasingly regulated domains (rail, transport) where compliance requirements make external specialist partners valuable.
Cyber Services participates exclusively as a consortium partner and has never held a coordinator role across either of their H2020 projects — they join as a specialist contributor rather than a project driver. Despite only two projects, they have engaged with 46 unique partners across 13 countries, which is an unusually wide network for a company of this size and suggests they are brought in precisely for their niche technical expertise rather than as general-purpose partners. Working with them likely means a focused, well-scoped technical task rather than broad project management involvement.
Despite only two completed projects, Cyber Services has built a surprisingly broad network of 46 unique partners spanning 13 countries — consistent with participation in large Innovation Action consortia that typically include 15–25 organisations each. Their geographic reach is European, with no apparent focus on a single region.
Cyber Services occupies a specific niche at the intersection of operational AI analytics and cyber-physical security — a combination that remains underrepresented among Central and Eastern European SMEs. While many Hungarian ICT firms focus on software development or IT services, Cyber Services brings applied machine learning directly into safety-critical physical systems (factories, railways), which is a harder competence to replicate. For consortium builders needing a mid-size technical partner with credible IA-level deliverables in both manufacturing and transport security, they offer a proven track record without the overhead of a large contractor.
