Edge AI and Smart Sensing Hardware Platform for Embedded Systems

Overview

Smellwave offers an embedded hardware platform that runs a 100% offline Edge AI engine for real-time acoustic and sensor signal processing. By eliminating cloud dependency and network latency, the platform provides secure, autonomous operation in any environment while preserving user privacy. It is designed for OEMs and product developers building smart devices that require embedded sensing, automated response, and local intelligence.

The platform combines a modular 8-channel micro-fluidic architecture with precise peristaltic pumps and ultrasonic dry-mist nebulization. Actuation is triggered locally with ultra-low latency of 1.5 to 3.0 seconds, making it suitable for applications where speed and reliability are critical. A local IP-based web control panel enables configuration and monitoring without external connectivity, and flexible power inputs support integration across varied hardware designs.

Technical specifications

Core features:

• Fully offline Edge AI engine processes acoustic and sensor signals locally, with no cloud dependency or network latency
• Modular 8-channel architecture for multi-signal sensing and actuation
• Precision peristaltic pumps for controlled fluid delivery
• Ultrasonic dry-mist nebulization for fine-particle dispersion
• Local IP-based web control panel for device management
• Ultra-low-latency actuation between 1.5 and 3.0 seconds
• Flexible power inputs to support different embedded form factors
• Protected by national and international patent filings (BR 10 2026 007103-0 and PCT/BR2026/050421)

Benefits:

• Stronger privacy and security through local-only processing
• Reliable operation in remote or connectivity-limited environments
• Low memory requirements and scalable integration for OEM products
• Mature industrial design intended for transfer to pilot manufacturing

Technology readiness level

The platform is currently positioned for industrial adoption and validation. It is protected by patent filings and designed for OEM licensing and co-development. The 12-month validation roadmap includes prototype adaptation to embedded systems and handheld devices, bench testing of power management and sensor latency, and pilot manufacturing transfer for commercial deployment. During these phases, the focus is on optimizing local processing efficiency, achieving sub-3-second response latency, and scaling the bill of materials for production.