Nordic Edge AI Lab

Nordic Edge AI Lab is an automated no-code platform that empowers users to build extremely compact models and embed them across the wide portfolio of all Nordic’s wireless connectivity SoCs. 

Nordic Edge AI Lab is your gateway to ultra-efficient edge intelligence. In the Edge AI Lab, you can create high-performance AI models ready to deploy on Nordic’s ultra-low-power SoCs, for both CPU-run and NPU-accelerated edge AI. 

Features

• Custom Neuton Models – Ultra-efficient, CPU-run edge AI for any Nordic SoC.
• Text-to-Wake-Word – Wake-word model generation for the Axon NPU without collecting audio data.
• Model Builder for Axon NPU – Full-control path for custom TensorFlow-based models.

Application

       The Nordic Edge AI Lab is suitable for developing Edge AI solutions across the following (non-exhaustive) domains:

• Wearable Technology - Smartwatches, smart rings, fitness trackers, and health-monitoring devices that require efficient, real-time data processing
• Environmental Monitoring - Tracking animal movements, detecting poaching activities, and monitoring air and water quality
• Healthcare - Portable diagnostic devices and health-monitoring tools (heart rate, oxygen levels, ECG, PPG, etc.)
• Energy Management - Smart grid solutions for efficient energy distribution, fault detection, and grid optimization; smart home energy-management systems
• Logistics and Transportation - Package tracking and monitoring, fleet operation optimization (route optimization, maintenance scheduling, fuel efficiency), and tracking of high-value assets in transit
• Farming - Soil monitoring, crop health assessment, and automated irrigation systems
• Smart Home Devices - Smart speakers, thermostats, security cameras, and appliances that benefit from on-device AI processing for faster response times and improved privacy
• Predictive Maintenance - Machinery and equipment monitoring to detect anomalies and predict failures in real time
• Smart Cities - Traffic management and emergency response systems
• Retail and Commerce - Smart shelves, personalized recommendations, inventory-management systems, and supply-chain optimization
• Automotive - Autonomous vehicles, driver-assistance systems (lane keeping, collision avoidance, driver monitoring), and other in-vehicle AI applications