Predictive Maintenance
AI models on-device analyze sensor data — vibration, temperature, pressure — to detect early signs of wear or failure before they cause downtime.
SiMa.ai tackles industrial challenges with physical AI — delivering real-time predictive maintenance, quality inspection, and industrial autonomous systems with the best performance per watt.
Customer and Partner Stories
Purpose-built silicon and software for critical industrial applications — from factory floors to autonomous mobile robots.
AI models on-device analyze sensor data — vibration, temperature, pressure — to detect early signs of wear or failure before they cause downtime.
Cameras combined with AI inspect products for defects in real time at line speed — increasing product quality and reducing scrap rates.
Physical AI powers real-time decision-making in robots, enabling adaptation to changing environments and safe human collaboration.
AI-enabled sensors and cameras track materials and parts, providing instant feedback on inventory levels to minimize shortages or overstocking.
Industry-leading frames-per-second performance with multimodal compute at the edge — enabling 10x improvement over incumbent solutions.
Real-world industrial AI capabilities powered by on-device inferences.
How It Works
Cerence's multilingual voice AI (CaLLM Edge and xUI) runs on SiMa.ai's production-ready Modalix MLSoC, while SK AX integrates conversational intelligence into vision and SCADA systems — multimodal reasoning executed fully on-device within a 15W power envelope.
Key Benefits
Use Cases and Demos