Self-Harm Detection
Enabling Timely Intervention for User Safety
Self-harm detection is the process of identifying and flagging content related to self-inflicted harm, suicide, or distressing behavior to enable timely intervention and support. It plays a crucial role in protecting individuals at risk by allowing platforms to take preventive actions, such as providing mental health resources, notifying moderators, or escalating concerns to professionals when necessary. Self-harm detection is widely used in social media, online forums, mental health apps, and content moderation systems to ensure user well-being.

Threats Prevented
10M+
#Scale
Detection Accuracy
99.7%
#Precision
Response Time
<300ms
#Speed
Global Coverage
120+
#Reach







