AirTouch is gesture control and hand tracking software from Neural Lab. It turns any standard RGB camera into a gesture-driven input device, mapping hand gestures to mouse clicks, keyboard keys, and touch events at the operating system level, so it works with apps you already use without any code changes.

AirTouch hand tracking works with any RGB camera, including your laptop webcam, an external USB cam, a smartphone, and most IP cameras. There is no depth sensor requirement and no proprietary device to plug in.

AirTouch maps gestures to standard mouse, keyboard, and touch inputs at the operating system level. If an app accepts a click, it accepts AirTouch. There's nothing to integrate.

Effectively all of them. Because we map to inputs your OS already understands, anything that responds to a mouse, keyboard, or touch event responds to AirTouch. That includes browsers, presentations, kiosks, CAD software, medical imaging viewers, games, and custom enterprise apps. If your team built it on Windows, Linux, or Android, AirTouch can drive it.

Ultraleap requires a proprietary IR hand tracking sensor mounted to every device. Apple Vision Pro requires a $3,500 headset and works only inside its own ecosystem. AirTouch requires a camera that's almost certainly already in the room, and works with every app you already have. Neural Lab trades specialized hardware for an AI model trained on millions of hand-pose samples, and trades vendor lock-in for universal OS-level inputs.

50 milliseconds. Fast enough for medical interactions, gaming, and live presentations. We benchmark against the threshold where people stop perceiving lag.

AirTouch is built to prevent exactly that. Patented intent detection uses signals like eye gaze and a deliberate activation gesture to confirm a user means to interact before acting. Casual hand movement, conversation gestures, and accidental brushes are filtered out. Other gesture systems fire on any motion their camera sees. That filtering is why enterprises trust AirTouch with transactions where accuracy is non-negotiable.

The hand tracking model is trained for sterile environments (gloved hands, including colored medical gloves), industrial settings (poor lighting, protective gear), and kiosks behind protective panels. Edge cases exist, and some may call for a specialized camera. Book a demo and we'll test against your exact environment.

AirTouch gesture inference runs entirely on-device, so no video leaves the machine by default. Enterprise plans include GDPR-compliant analytics dashboards, on-prem deployment, signed DPA, and SLA.