What inspired us to build RadionIQ We started ICX because we saw a huge gap in how machines perceive the world. Cameras give visual intelligence. LiDAR gives depth. GPS gives position. But radio signals — the most fundamental layer of modern infrastructure — remain invisible. Yet everything around us emits RF: drones wireless devices sensors networks critical infrastructure We realized that if autonomous systems could see radio signals the way they see light, they could make far better decisions. That insight became the foundation for RadionIQ. What problems we’re solving 1. Radio signals are invisible Robots and autonomous systems can’t interpret the RF environment. They can’t see weak signals, hidden devices, or wireless activity around them. 2. RF sensing is slow, complex, and requires experts Traditional RF tools are bulky, technical, and not designed for real‑time spatial awareness. 3. Autonomy needs better guidance Drones and autonomous platforms need precise, real‑time information about the RF landscape to navigate, avoid interference, or interact with wireless systems. 4. No existing solution provides spatial RF intelligence There is no handheld device that turns radio signals into real‑time 2D imaging or spatial vectors. RadioNiq solves all four. How we approached the problem We built RadioNiq from first principles: New RF‑vision algorithms inspired by synthetic aperture and weak‑signal detection Spatial reconstruction that converts RF activity into intuitive 2D imaging Real‑time processing on compact hardware A handheld form factor that anyone can use Guidance vectors that help autonomous systems make better decisions Instead of treating RF as a technical measurement, we treat it as a visual modality — something you can map, interpret, and act on. This approach lets RadioNiq deliver: weak‑signal detection wireless‑activity mapping real‑time 2D RF imaging high‑precision guidance for autonomous systems all in a compact, handheld device

ICX Systems

World 1st RF Camera

World 1st RF Camera