Predictive-Relapse Intelligence — Large Health Platform
Architected for a major AWS-funded behavioral-health platform (400k+ members, 21M+ sessions, $30M+ valuation) — a groundbreaking predictive-relapse system built to spot risk signals days before a traditional clinician would, route the right intervention to the right person, and keep humans firmly in control at every escalation.
- Temporal-graph risk modeling Rolling risk scores over behavioral, biometric, and conversational signals; anomaly windows surface the hour before a relapse spike.
- Operator-in-command routing Care teams see a calibrated hand-off with suggested outreach, context, and approval gates — never an auto-send to a vulnerable member.
- NVIDIA NeMo Guardrails Every LLM interaction runs through policy, topic, and safety rails. Clinical tone enforced. Jailbreaks and unsafe advice blocked at the rail layer.
- HIPAA-aware infrastructure Encrypted event bus, role-scoped audit trails, retention policies per tenant, and tenant-isolated inference endpoints.
