Pain assessment is fundamental to medicine, with 90% of patients citing pain as their primary complaint. Yet, current evaluation methods rely entirely on verbal self-reporting, creating a critical healthcare gap for non-verbal patients such as babies, individuals with autism, Down syndrome, cerebral palsy, and those with other conditions affecting communication.  Recent studies published in the The Lancet confirms that these patients face a 30% higher risk of misdiagnosis and inadequate treatment, often with fatal consequences with increasing mortality rates. This invisible suffering represents a global healthcare crisis affecting millions. The same research outlined the necessity of developing new medical tools to measure pain and treat it based on technology like AI, whose accuracy and objectivity could positively impact pain treatment for millions of non-verbal patients worldwide.    PainVisible makes the pain visible for the first time, changing paradigm in pain diagnosis and treatment, giving voice to non-verbal patients who suffer in silence. It transforms pain into visual data thanks to thermal images obtained through AI and infrared technology. PainVisible democratizes pain treatment access for non-verbal patients, changing the approach to human suffering, and creating a new category of medical diagnostics. PainVisible targets healthcare professionals treating non-verbal patients like babies, individuals with autism, Down syndrome, and other conditions affecting communication. By providing objective pain data, it empowers healthcare professionals to deliver appropriate care. Furthermore, PainVisible could potentially help millions of patients in the USA, where pain is both under- and over-treated, leading to thousands of deaths from overdoses (OD) each year.