Artificial Intelligence for
Cyber-Physical Systems
We bring advanced AI capabilities to complex systems
across manufacturing, logistics,
process industries, aerospace, and beyond.
Our key algorithmic solutions were developed within (K)ISS
research project at
Helmut
Schmidt University.
We use AI to optimize operational schedules, improve resource utilization, and enable contextualized, data-driven decision-making.
AI-driven condition monitoring helps predict failures, reduce downtime, and improve system reliability.
AI helps detect anomalies and identify root causes of system issues, enabling faster and more effective resolution.
AI continuously analyzes system behavior to identify optimal parameter settings and improve operational performance.
Advanced reporting, visualization, and LLM agents turn complex analysis into clear, actionable insights.
Access 30+ proven capabilities from our codebase—or get a tailored solution developed for your specific requirements.
A secure, on-premises platform combining advanced AI analysis, visualizations, dashboards, and LLM-powered interaction — with continuous and on-demand analysis of your operational data.
Integrate sensor measurements, controller variables, business, and other relevant sources for advanced AI4CPS analysis.
Combine the experience and domain knowledge of your practitioners with operational data to provide richer context for AI analysis.
Our advanced algorithms learn system behavior behavior and extract meaningful patterns and insights from diverse data sources.
Get relevant, actionable insights to make faster, better-informed decisions about system operation and performance.
Implemented a recomendation system in AI4CPS for
online
analysis of system health and recomendation
of system reconfiguration
scenarios.
Our operational insights enabled smarter resource utilization and extended maintenance intervals by up to 50%.
Increased production throughput by 8.3% using AI-driven scheduling of industrial robots' actions and optimization based on article contexts.
Data-driven parameter optimization improved operational KPIs and supported smarter equipment investments, reducing unnecessary costs.
“The (K)ISS project has strongly advanced our space services in system diagnosis and reconfiguration, with AI4CPS emerging as a promising spin-off to successfully bring these capabilities into broader industrial use.”
Hauke Ernst
AI Portfolio Lead
PMTD
Digital Space Systems
AIRBUS Defence and Space
"With AI4CPS, we gained real-time insight into production KPIs and automated detection of operational issues."
Thomas Wiebe
Production Lead, eBZ GmbH
"AI4CPS helped us modernize our infrastructure with a scalable Kubernetes-based architecture and reliable monitoring and data management."
Žarko Milovanović
CEO, Stand Digital
From industrial data to operational intelligence
1–2 MONTHS
Analysis of your systems, integration of relevant data sources, development of tailored AI models, and implementation into existing IT and OT infrastructures.
01
<1 MONTH
Our proprietary AI4CPS software platform is seamlessly integrated into your industrial environment and supports operational decision-making.
02
LONG-TERM PARTNERSHIP
After successful implementation, fees are based solely on a transparent software license — predictable, scalable, and efficient in the long term.
03
The people behind AI4CPS, combining expertise in AI,
industrial
systems, and software engineering.
Drives partnerships and market strategy, connecting industrial challenges with practical AI solutions.
Our team is 5+ people strong and growing. We maintain close research collaborations with Helmut Schmidt University and other leading industrial research institutions.
We actively contribute to open-source AI for CPS
and
collaborate with research
institutions to
develop and advance state-of-the-art algorithms.
Discover how AI4CPS
can
transform
your industrial
operations.
Our
experts will show
you real-world applications tailored to your specific
industry
challenges.
