polyn.ai: Powering Edge AI with Neuromorphic Sensor Chips

polyn.ai is a pioneering fabless semiconductor company developing Neuromorphic Analog Signal Processing (NASP) chips that enable real-time, ultra-low-power AI inference directly at the sensor level—revolutionizing edge AI for wearables, automotive, smart homes, healthcare, and industrial IoT. By leveraging brain-inspired analog circuitry and advanced neural network conversion tools, polyn.ai’s technology drastically reduces data volume (up to 1000x), latency, power consumption, and system costs while ensuring privacy through cloud-independent processing. Their product lineup includes NeuroSense for health monitoring, NeuroVoice for intelligent audio processing, and VibroSense for vibration and tire friction analysis, all designed for seamless integration into mass-market devices. The NASP platform supports popular ML frameworks like TensorFlow, PyTorch, and Keras, and enables rapid prototyping and deployment with its D-MVP simulation tool.

Key Features:

• Neuromorphic Analog Signal Processing (NASP): Brain-inspired analog circuitry for real-time AI inference at the sensor level.
• Ultra-Low Power Consumption: As low as ~35 µW for voice processing and under 100 µW for health monitoring.
• Real-Time Processing with Low Latency: Inference times as fast as 20µs, enabling instant response in critical applications.
• On-Device, Cloud-Independent AI: Eliminates reliance on cloud connectivity for sensitive or time-critical tasks.
• Massive Data Reduction: Reduces vibration and sensor data by up to 4000–1000 times before transmission.
• Support for Any Sensor & Neural Network: Compatible with diverse sensor types and major ML frameworks (Keras, TensorFlow, PyTorch, MXNet).
• Tiny AI (Tiny ML) Implementation: Enables deep neural networks to run efficiently on small, low-cost devices.
• Hybrid Processing Architecture: Combines fixed neuromorphic pattern detection with flexible retrainable algorithms.
• Standard Semiconductor Fabrication: Chips are produced using conventional manufacturing processes, lowering production barriers.
• Multiple Product Offerings: NeuroSense (health monitoring), NeuroVoice (voice intelligence), VibroSense TMS & IIOT (vibration and friction analysis).
• Energy-Harvesting & LPWA Ready: Ideal for battery-free or long-range low-power applications.
• Fast Time-to-Market: Streamlined development from neural network training to chip synthesis.
• Privacy-First Design: On-device processing enhances end-user privacy and reduces data exposure.
• D-MVP Software Simulation: Allows developers to test and validate models with their own data before hardware deployment.
• Customizable Solutions: Tailored neural network chips for specific application needs.

Pricing: polyn.ai operates on a custom pricing model for its semiconductor solutions, with no publicly listed pricing tiers. However, the company offers demo requests and technical support, indicating a freemium or trial-based engagement approach for potential customers.

Conclusion: polyn.ai is a transformative force in edge AI, delivering intelligent, ultra-efficient sensor chips that bring powerful AI capabilities directly to devices—making it ideal for developers, engineers, and innovators in wearables, automotive, healthcare, and industrial applications who demand speed, privacy, and scalability without compromising performance.