nami
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About
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.
Pros & Cons
Detects movement through walls and obstacles without requiring line-of-sight.
Uses radio waves to ensure high-level awareness without the privacy risks of cameras.
Patented multi-node mesh topology eliminates common blind spots in signal coverage.
PulseCSI engine provides rapid intrusion detection within 6 to 8 seconds.
Combines Wi-Fi and Thread protocols for more robust and flexible device deployment.
Advanced features like fall detection and acoustic sensing are currently listed as coming soon.
The solution is primarily tailored for B2B partners rather than individual retail consumers.
Full functionality requires specific mesh hardware or compatible router firmware.
Detection performance can be affected by specific building materials and router placement.
Use Cases
Senior care providers can implement non-invasive remote monitoring to track daily activities and ensure safety without using cameras.
Security companies can upgrade traditional alarm systems with Wi-Fi sensing to detect intruders through walls and furniture.
Internet Service Providers can offer home awareness services by embedding nami's sensing software directly into their existing gateways.
Smart home manufacturers can integrate occupancy sensing to automatically adjust lighting and climate control based on real-time presence.
Insurance firms can provide policyholders with property awareness tools to proactively detect and alert on unusual household activity.
Platform
Task
Features
• presence and occupancy detection
• multi-node mesh topology
• sdk and api integration
• thread mesh networking
• fusion sensing infrastructure
• activecsi analytics engine
• pulsecsi security engine
• wi-fi mesh sensing
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.
Pricing Plans
Enterprise Partner
Unknown Price• Wi-Fi Sensing Engines
• Fusion Sensing Architecture
• SDK & Cloud-to-Cloud API
• Multi-lingual Setup App
• Hardware Design Reference
• Technical Support
• White-label options
• Access to Aerial Research Labs
Job Opportunities
Software Engineer
Protect homes and monitor senior safety without invasive cameras using Wi-Fi mesh sensing technology that detects human motion and activity through walls.
Benefits:
An attractive remuneration package
Working with cutting-edge IoT and Smart Home technologies (Matter, Thread, Wi-Fi Sensing)
Experience Requirements:
Experience with embedded development using RTOS and Espressif’s SDK
Understanding of networking protocols: low-level (TCP, UDP, IP) and application-level (HTTP, DNS)
Familiarity with hardware debugging tools, such as oscilloscopes and logic analyzers
Responsibilities:
Analyze and optimize the performance of existing test benches, implementing changes as needed to maintain efficiency and reliability.
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Backend (Ruby) Software Engineer
Protect homes and monitor senior safety without invasive cameras using Wi-Fi mesh sensing technology that detects human motion and activity through walls.
Benefits:
A multicultural environment that promotes a healthy work-life balance
An attractive remuneration package
15 days of annual leave
A talented team from all over the world to work with
Working with cutting-edge IoT and Smart Home technologies (Matter, Thread, Wi-Fi Sensing)
Experience Requirements:
Experience in writing working software in Ruby (Ruby on Rails)
Work experience with Scala (or Java, or Kotlin used for server-side applications)
Passionate about high-quality software products
Used SQL and you may even like it
Hands-on experience with Kafka and stream processing
Other Requirements:
Effective communicator in English (written and verbal)
Able to adapt quickly to changing requirements and work with a bit of ambiguity
You know your way around Linux
Responsibilities:
Design, develop, and maintain our cloud system with the focus on availability, security, low latency
Design and implement automated software tests
Collaborate closely with firmware and mobile developers to deliver a great experience to our customers
Take responsibility for the operations of the software in production
Improve and clean up our codebase whenever there is an opportunity
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Sales Operations Manager
Protect homes and monitor senior safety without invasive cameras using Wi-Fi mesh sensing technology that detects human motion and activity through walls.
Education Requirements:
Relevant training and/or certifications in Sales Operations preferred
Experience Requirements:
Strong understanding of the sales process to support the sales team
Experienced working with different teams and departments to streamline onboarding and reporting
Responsibilities:
Support our sales team to ensure our organization reaches our sales goals each year
Streamline onboarding and reporting across order management, supply chain and sales reporting
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