We focus on making data meaningful, moving models seamlessly between the edge and the cloud, and ensuring that AI delivers real value.
Intelligence in Motion: Turning Data and Edge AI Into Real Impact
aicas Newsletter Issue #2 2025
Dear Reader,
I just returned from San Francisco, where Tech Week brought together some of the brightest minds shaping the future of edge AI. The atmosphere was unequivocal: optimistic, fast-paced, and forward-looking. It was clear that the next wave of innovation is happening at the intersection of the edge and the cloud, not in the cloud alone.
Many discussions centered on rising cloud costs, the need for efficient model training and deployment, and how to maintain the adaptability of AI as environments change. Across all topics, two key subjects stood out: intelligence must move closer to where data is created, namely at the edge, and high-quality data is essential for Edge AI success.
At aicas, we witness this shift daily, spanning industries from rail to wind to automotive. We focus on making data meaningful, moving models seamlessly between the edge and the cloud, and ensuring that AI delivers real value where it matters most: in operations.
The momentum is building, and it’s inspiring to be part of it.
Kind regards,
Johannes Biermann
President and COO
New aicas EdgeSuite for Seamless Edge and Cloud Management
Drive Efficiency and AI-driven Results at the Edge. With Velocity.
aicas has launched the new aicas EdgeSuite, a modular edge-to-cloud platform that unifies software, data, and AI model management across edge and cloud. EdgeSuite accelerates AI integration at the edge, ensuring to get the right data to train AI models and to unlock fast results in EdgeAI. The platform enables faster development cycles, secure over-the-air updates, and real-time insights, helping teams move quickly from pilot to production while driving efficiency and performance—even in remote or mission-critical settings.
At IIoT World Day 2025, Johannes Biermann, aicas President & COO, shared how real-time data architectures unlock measurable results with industrial AI. The panel emphasized that success depends on the right data at the right time, and that Edge AI must directly drive operational decisions.
AI works best as a continuous learning loop, requiring speed and adaptability. Watch the full recording to hear Johannes’ insights and discover how aicas EdgeSuite empowers companies to turn industrial edge data into real business value.
Higher Business Impact with Data Selection Directly at the Edge
Transforming Rail Inspections With Edge AI
Real-Time Fault Detection for Safer, Efficient Rail Operations
We are excited to present our latest rail use case: "Enhanced Rail Track Inspection With Edge AI." Recently, our team attended two major rail conferences, AREMA and Technology in Rail, showcasing how Edge AI is revolutionizing track inspections.
Our solution enables autonomous inspection vehicles to detect rail and tie faults in real-time, transmitting only critical insights. This approach reduces downtime, prevents costly speed restrictions, and ensures data-driven maintenance, operational efficiency, and safer rail operations.
Real-Time Control for Higher Efficiency and Lower Maintenance
As the demand for renewable energy is increasing at an ever faster rate, operators are under growing pressure to improve efficiency and reliability across their wind farms. Our latest use case, "Wind Turbine Control With Edge AI", shows how real-time intelligence at the edge helps achieve exactly that.
By selecting and processing turbine sensor data locally, Edge AI enables continuous dynamic adjustments of pitch, yaw, and generator output. The result is higher energy yield, reduced mechanical stress, and longer component life. All contributing to greater operational efficiency and ROI.
aicas has been featured by the Connected Vehicle Systems Alliance (COVESA) for driving innovation through collaboration.
COVESA published a case study on our joint solution with NXP Semiconductors, enabling the collection, filtering, and visualization of the vehicle edge data that matters most. It combines aicas’ Intelligent Data Management with NXP’s automotive processors and AI toolkit eIQ®, fully integrating COVESA's Vehicle Signal Specification (VSS).
Read the case study to see how vehicle data can be turned into business value, optimized processes, cost savings, and new revenue opportunities.
Exploring Edge AI for Smarter Vehicles October 22–23, Ann Arbor, Michigian, USA
At the COVESA All Member Meeting, our CEO and CTO, Dr. James Hunt, will showcase how Edge AI and unified lifecycle management can transform the future of mobility. Look forward to his presentation "Enabling In-Vehicle Intelligence: Closing the Edge AI Loop With Unified Software Lifecycle and Data Management". We are looking forward to thought-provoking discussions, new connections, and the opportunity to engage with the Connected Vehicle Systems Alliance (COVESA) community.
aicas on Stage: Sharing Expertise at Leading Events From Karlsruhe to Embedded AI Solutions
aicas is regularly present at top industry events, contributing our expertise and insights to shape the future of technology. In Karlsruhe, Dr. James Hunt joined the panel at Zukunft Made in Germany, engaging with innovators and decision-makers to discuss Germany’s innovation ecosystem.
At Elektronik AI Solution Days 2025, our colleague Michael Reimann highlighted the importance of secure updates for embedded AI applications and the lifecycle approach of ML DevOps. These events allow us to share knowledge, exchange ideas, and support the community in building scalable, secure, and innovative solutions.
