Built on a foundation of decades of research by renowned experts in language, psychology, machine learning, and data science, Azadi leverages the world’s most powerful, extensively validated, psychology-based language analysis platform for understanding human emotion and psychology from language.

Our learning algorithms evaluate free text to help predict patients who may be at risk of self-harm or psychological distress, enabling care teams or other caretakers to intervene faster. For example, health providers can evaluate patients’ mental health based on what they post on social media sites or to online blogs/message boards. Given the widespread adoption of social media and mobile devices, health care providers have a wealth of new data to work with. Feeding patient-generated text into our NLP and machine learning algorithms, caregivers have the ability to create predictive models that signal when a patient is experiencing deep depression, undergoing an anxiety attack, or having suicidal thoughts.

In collaboration with therapists, doctors and researchers, we are working to build the most effective behavioral health care solution in the world — and put it in the hands of everyone who needs it.