Predicting the crisis.
Preserving the life.
The Clinical Safety Layer for Conversational AI
Clinically approved Intervention
Based on Prof. Galynkir's work in Mount Sinai, GalynCare is powered by the Best Practice of the Suicide Crisis Syndrome (SCS) - an acute psychiatric condition identified and developed by Prof. Igor Galynker at Mount Sinai’s Icahn School of Medicine and grounded in the four-stage Narrative Crisis Model of suicide (NCM).
Proven accuracy
The model has demonstrated over 85% accuracy in identifying significant suicidal intent with clinically validated reductions in false positives, and, more importantly, false negatives.
Trajectory. not words.
Unlike keyword-based approaches, GalynCare detects the trajectory of an evolving suicidal crisis through structured clinical criteria and staging—identifying both explicit and implicit escalation patterns that generic AI safety tools miss.
Data Privacy and Safety
The platform is being architected from day one for HIPAA and SOC 2 compliance in the United States, with GDPR alignment for international deployment, ensuring that protected health information is utilized for real-time intervention but fully isolated from model training loops.
Millions of people now confide suicidal ideation, self-harm thoughts, and acute psychological distress directly to large language models and digital platforms.
GalynCare is the first clinically structured, real-time suicide trajectory detection and intervention layer purpose-built for conversational AI at scale.
Are You Ready to protect the world from Suicide?
Coming soon