About nami
nami is an AIoT technology company specializing in Wi-Fi sensing and fusion sensing systems for security, care, and automation. Unlike traditional security systems relying on line-of-sight cameras, nami uses existing Wi-Fi signals to create a comprehensive mesh of sensing coverage. By observing fluctuations in radio frequency (RF) waves, the system detects human presence, motion, and specific activities across a property. This technology is powered by Aerial Research Labs, an exclusive AI lab that develops the sensing engines and analytics required to interpret complex RF data into actionable insights for property awareness. The platform operates through two primary sensing engines: PulseCSI and ActiveCSI. PulseCSI is optimized for security, detecting motion within six to eight seconds, while ActiveCSI is designed for care and automation, collecting long-term data for occupancy sensing. A key differentiator is the patented multi-node mesh topology where multiple nodes act as both transmitters and receivers to create a dense sensing grid. This approach significantly reduces blind spots and interference from walls or furniture, ensuring room-to-room continuity across complex floor plans. nami is built for partners in the security, CareTech, telecom, and IoT industries. It allows service providers to add sensing-as-a-service without deploying entirely new hardware infrastructures. For example, ISPs can embed nami’s software into existing routers to turn them into motion sensors. The system also supports Fusion Sensing, integrating Wi-Fi sensing with Thread mesh networking. This allows battery-operated accessories like door sensors to work with the Wi-Fi grid, providing a more robust deployment than access point-dependent systems. What sets nami apart is its commitment to privacy-by-design. Because the system uses radio waves rather than visual data, it provides awareness—such as detecting a fall—without the privacy concerns of cameras. The infrastructure is highly scalable, offering SDKs, APIs, and a setup app that allow partners to integrate the technology into their software stacks within weeks. By combining AI-driven RF sensing with established IoT standards like Matter and Thread, nami offers a future-proof foundation for ambient intelligence.
nami FAQs
How does nami detect motion without cameras?
It uses Wi-Fi sensing technology to observe fluctuations in radio frequency waves already present in the environment. When a person moves through these signals, the AI interprets the changes to identify motion and activity patterns.
What is the difference between PulseCSI and ActiveCSI?
PulseCSI is designed for rapid security alerts, detecting motion within 6-8 seconds for intrusion monitoring. ActiveCSI is optimized for long-term occupancy insights and care use cases, serving as a key input for daily living analytics.
Does the system work through walls?
Yes, Wi-Fi sensing is capable of penetrating walls and furniture, allowing for room-to-room continuity. This multi-node mesh topology eliminates the blind spots typically found in traditional line-of-sight sensors.
Is user privacy protected?
Yes, nami follows a privacy-by-design approach that does not collect personal data or use visual sensors. By relying on radio frequency waves rather than video, the system maintains occupant privacy in sensitive areas like bedrooms.
Can I integrate nami into my existing software platform?
Yes, nami provides a partner-centric model with SDKs, APIs, and a setup app designed for fast integration. Most partners can complete the orchestration and deployment within a few weeks.
