Neuton.AI

Features

• Exceptionally Tiny Models: Achieve average model sizes less than 1 KB, making them perfect for embedding into microcontrollers, sensors, and edge devices.
  
• Automated No-Code Platform: Utilize a no-code AutoML platform with a patented Neural Network Framework for transparent and highly automated model building.
  
• Single-Iteration Model Building: Create accurate, high-performing neural models in just one iteration, without the need for additional compression.
  
• Cross-Platform Compatibility: Neuton's silicon agnostic models are deployable on a wide range of MCU capacities, from 8 to 32-bit.
  
• Transparent Optimization: Innovative approach bypasses error backpropagation, facilitating the creation of compact models while maintaining accuracy.
  

Use Cases:

• Smart Device Interactions: Control TVs and wearables with gesture-based smart rings, enhancing the user experience with touch-free technology.
  
• Health & Hygiene Monitoring: Track hand washing frequencies and teeth brushing effectiveness with high-accuracy, low-footprint ML solutions.
  
• Logistics & Package Tracking: Optimize logistics by monitoring package delivery through event recognition, all on-device.
  
• Predictive Maintenance: Implement timely maintenance of water pumps and other critical machinery using tiny ML-driven predictive analysis.
  
• Customizable IoT Solutions: Harness the flexibility of Neuton to create tailored ML applications for a variety of novel smart interfaces and condition monitoring systems.
  

Neuton TinyML revolutionizes the integration of machine learning into edge devices, offering an automated, no-code platform for creating ultra-compact, high-performance neural network models that drive innovation and efficiency across industries.