The AI front door to mental wellness—connecting you to real therapists when you need them.
Sino is a responsible mental-health platform that uses an LLM as the first point of support, provides on-demand therapist access when needed, and stores key insights in a private knowledge graph to deliver continuous, personalized care. Sino generates a mental-wellness score, identifies safety risks, matches users to the right AI or human support, and remembers important context over time—ensuring safer, more consistent, and more meaningful pathways to mental wellness.
Access to mental health care remains one of society’s greatest unmet needs: nearly half of those who could benefit never receive support due to cost, shortages, and long waitlists. Meanwhile, millions already turn to AI chatbots for help, despite the lack of oversight and major safety gaps. These systems often fail to recognize suicide risk, provide unreliable guidance, or forget important contextual information from previous interactions, forcing users to repeat their history and preventing meaningful continuity of care.
Current digital tools fall into two extremes: unregulated chatbots that generate therapy-like conversations without clinical guardrails, or rigid symptom checkers that provide generic results and no follow-up pathway. What’s missing is an integrated, responsible system that can (1) safely engage users at the moment they seek help, (2) escalate to human clinicians when needed, and (3) preserve essential context across interactions to prevent fragmented care. Sino fills this gap with evidence-based risk detection, safe AI guidance, seamless on-demand therapist support, and a privacy-preserving knowledge graph that remembers the user’s story over time.
Sino is a responsible mental-health entry point that combines an LLM-powered assistant, on-demand therapists, and continuous knowledge-graph memory to deliver personalized and safe support. Users begin with Sino’s intelligent LLM, which provides immediate guidance, generates mental wellness scores, and evaluates safety using validated clinical markers. When a higher level of support is appropriate, Sino seamlessly connects the user to an on-demand therapist within minutes.
Every interaction—whether with the LLM or a clinician—is processed through Sino’s private, user-centric knowledge graph. This allows the system to maintain context, remember user history, track wellness trajectories, and personalize recommendations over time while ensuring privacy and clinical safety. Sino does not attempt to replace therapy; instead, it acts as a trusted digital front door that bridges immediate AI support with clinician-backed care pathways, offering a safer, more consistent, and more personalized mental-health experience.