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
Real-world industrial AI capabilities powered by on-device inferences.
How It Works
Easily implement conversational AI that runs locally on device to perform visual scene analysis, product inspection, or provide timely information in the field for complex setup/repair. Leverage Retrieval Augmented Generation (RAG) to quickly extent model’s expertise.
Key Benefits
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.