Artificial intelligence

In autonomous driving, AI systems rely on a network of electronic and central control units (ECUs/CCUs) to process and act on sensor information in real time. For these systems to perform reliably, their electronic components must operate flawlessly under all environmental conditions.

Our humidity and temperature sensors provide essential data on environmental influences such as water ingress or condensation inside ECUs, CCUs, and sensor modules. These data streams enable AI-driven functions such as predictive maintenance, safe degradation, or emergency protocols — ensuring that vehicles remain safe and operational even under challenging conditions.

By making these critical environmental parameters visible, we contributes valuable data sources that enhance the reliability and trustworthiness of AI-powered mobility.

Humanoid robots powered by artificial intelligence depend on complex electronic architectures and high-performance battery systems. For these machines to operate safely and reliably, all electronic components and battery packs must be continuously monitored and protected against environmental stress such as humidity or water ingress.

Our environmental sensors provide critical data on these conditions in real time — enabling early detection of moisture, leaks, or temperature deviations that could compromise system integrity. This data empowers AI-driven maintenance strategies and supports the long-term reliability and safety of robotic platforms operating in dynamic human environments.

Beyond protecting hardware, our sensing technology also expands the data foundation of humanoid AI systems. By adding environmental and air-quality sensing, robots gain access to new data modalities that allow them to perceive and interpret the world more holistically — contributing to smarter behavior and healthier indoor environments for humans.

With us, AI-driven robotics move one step closer to true environmental awareness — built on reliable, high-quality data.