As age verification laws expand worldwide, organizations face growing pressure to protect users' privacy while meeting regulatory requirements. Incode explains how on-device age estimation verifies age without transmitting or storing facial images, reducing biometric privacy risks while supporting compliance. On-Device Age Estimation runs two of Incode's models directly inside the user's phone, tablet, or laptop: facial age estimation and passive liveness detection, which confirms that a real, live person -- not a photo, a deepfake, or a replayed clip -- is in front of the camera. The face is analyzed locally and is not transmitted or stored. What travels onward is the outcome: whether the user meets the platform's required age threshold. If the check cannot be completed for any reason, the user is automatically offered another verification method selected by the platform.