Use Cases
Industrial & Energy
Critical Infrastructure – Power Transformers
WHO
System suppliers and utility operators responsible for the operation and maintenance of critical electrical grid infrastructure.
WHAT
Operators of essential power grid assets, including high-value power transformers, face the challenge of preventing failures that may result in service outages, safety risks, and significant economic impact. Continuous condition monitoring and early anomaly detection are essential for stable and uninterrupted power distribution.
HOW
Edge AI-enabled software solutions powered by aicas can be integrated into existing transformer environments. The system can monitor key performance indicators such as temperature, load patterns, vibration levels, and insulation condition. Data may be processed locally in realtime to enable immediate anomaly detection and predictive analytics. Only relevant insights and alerts are transmitted to centralized control systems to support faster diagnostics and AI-assisted operational decision-making.
VALUE
This approach helps increase grid resilience, minimizes unplanned outages, and supports predictive maintenance strategies. It contributes to extending transformer service life and improving long-term infrastructure sustainability and operational continuity.
Customer-Programmable Logic Management in High-End Motion Control System
WHO
Siemens Industrial Automation
WHAT
Siemens high-end motion control system “Simotion”: provide customers with robust means to program devices, while maintaining a clock cycle below 125µs.
HOW
aicas’ embedded JamaicaVM runs Java code with standards based hard realtime capabilities. This is based on aicas’ deterministic garbage collector.
VALUE
JamaicaVM enables robust device programming, thus reducing the cost of customization for both Siemens and its customers. JamaicaVM has been in operation on Siemens Simatic for over 10 years.
Intelligent Automation and Data Security in Smart Warehouses
WHO
KUNBUS GmbH
WHAT
This use case showcases an integrated solution for smart warehousing, addressing data integrity, and cybersecurity challenges.
HOW
Developed collaboratively by KUNBUS, Swissbit, AWS, Klika Tech, and aicas, the solution utilizes smart shelving, AWS IoT Services, and hardware security modules for centralized data management and realtime visibility.
VALUE
By combining automation and robust security measures, the solution optimizes efficiency, enhances security, and facilitates rapid development, leading to significant cost savings and revolutionizing logistics operations.
Platform Porting for Semicon Manufacturer
WHO
Semiconductor Manufacturer
WHAT
Computing platforms become of age. Switching from one system to the next is not always straightforward or easy, and resources are always tight.
HOW
With JamaicaVM, this customer was up and running on the new platform in no time. With its broad support of hardware platforms by a wide range of manufacturers and many supported operating systems, the Jamaica product family is the first choice for porting systems to new platforms.
VALUE
This allows for a faster upgrading process without the need to rewrite code, significantly decreasing the costs of modernization.
Realtime Industrial Operations – Metal Manufacturing
WHO
High-tech wire processing machine manufacturer
WHAT
The production processes require a reaction time of less than 1ms. The software developers needed a safe and simple programming interface for the tools they are developing.
HOW
By using aicas’ JamaicaVM, a deterministic and realtime embedded virtual machine, Java programming is simplified. At the same time, it ensures very short execution times, such as the 1 ms required by the company’s production equipment.
VALUE
These machines are renowned for their robustness and unparalleled quality. JamaicaVM extends these quality capabilities while bringing simplicity of use on top of companies’ quality standards.
Realtime Industrial Operations – Textile Manufacturing
WHO
Company in textile testing and quality control
WHAT
The company’s goal was to provide an intuitive, smart touch controlled user interface for its yarn quality control system. The challenge was to develop a programmable graphical user interface that runs with an ontop realtime operating system on a microprocessor with constrained resources.
HOW
aicas’ JamaicaVM fits critical operations in uninterrupted processes with standards-based graphical capabilities.
VALUE
The company’s customers enjoy efficient user interfaces, while software developers benefit from standard programming tools for their applications, without compromising realtime response.
Secure ML Model Distribution for AI Edge Systems
WHO
Industrial Automation AI System
WHAT
AI models need to constantly learn and improve. Updated models must be reliably and securely transferred to the target system at the edge and protected from unauthorized access.
HOW
aicas’ cloud-based Edge Device Portal (EDP) for streamlining software updates to edge devices enables secure and robust ML model updates. With a single click, ML model updates can be distributed (upload, download, install, start, stop) to remote AI systems at the edge – all without accessing or modifying the models themselves. The solution provides encrypted, signed components and TLS-protected channels.
VALUE
The solution ensures the secure and robust deployment of ML model updates.
Software Abstraction to enable RISC-V / Linux OS Deployment
WHO
AWS Amazon Web Services
WHAT
Downsize and bring AWS IoT Greengrass 2.0 where no one has ever brought it before.
HOW
AWS, the world’s largest cloud provider, uses JamaicaVM as a runtime for their AWS IoT Greengrass 2.0 product. aicas ported JamaicaVM onto a RISC-V based hardware running a Linux operating system within less than a day. Once JamaicaVM was running on this RISC-V board, aicas engineering then ported AWS Greengrass 2.0 to this JamaicaVM enabled computing platform.
VALUE
Support of new and additional computing platforms is a must for any embedded system. Providing the abstraction as well as the broad range of operating systems and hardware platforms via JamaicaVM means that AWS customers can focus on what is really important: capturing value from their IoT systems without having to worry about the underlying infrastructure, even when new computing platforms have to be introduced. Reuseability of the systems is a given.
Wind Turbine Control with Edge AI
WHO
System Supplier
WHAT
System supplier and wind farm operator managing onshore and offshore wind farms aim to optimize turbine performance to optimize energy capture and minimize equipment wear and maintenance costs.
HOW
Edge AI-powered local control systems continuously monitor turbine sensors. Critical insights can be processed at the edge and selectively transmitted for centralized decision-making, enabling dynamic operational adjustments in realtime.
VALUE
The solution architecture supports increased energy yield, reduced maintenance costs, and extended turbine lifespan while helping to optimize ROI and contributing to sustainability objectives.