graph ai is the pioneer of the industry's first AI-native Patient Safety Operating System (OS), engineered to unify the fragmented pharmacovigilance (PV) landscape into a single, cohesive infrastructure for both biopharma enterprises and Contract Research Organizations (CROs). Founded by enterprise technology veterans, the company replaces legacy, labor-intensive workflows with a deterministic, inspection-ready AI architecture that explicitly aligns with the FDA’s AI Credibility Assessment Framework, the EU AI Act's high-risk data governance controls, and the CIOMS Working Group XIV recommendations. Rather than acting as a traditional "black-box" point-solution, this Patient Safety OS delivers mathematical reproducibility and absolute data transparency across a comprehensive lifecycle portfolio: Graph Safety /intake for multi-channel ingestion; Graph Safety /nucleus for touchless case processing and multi-algorithm causality validation; Graph Safety /report for adaptive generative medical writing; Graph Safety /signal for predictive safety surveillance; and Graph Safety /assure & /comply for strict QPPV governance.