Zoomlogi operates an AI-native platform purpose-built for the logistics of healthcare and life sciences - a domain where the margin for error is measured not in lost packages but in compromised patient outcomes. The system provides real-time visibility and risk prediction for sensitive shipments, complemented by automated voice and email interventions when anomalies arise. By unifying data streams from couriers, ERP and TMS systems, and IoT sensors into a single live control tower, it gives shippers a consolidated view of their supply chain that static tracking tools cannot match.
The platform's operational reach is substantial: more than 500,000 shipments tracked across upwards of 120 countries. Its client base spans the breadth of the life-sciences ecosystem - pharmaceutical and biotech manufacturers, diagnostics firms, medical-device companies, distributors, and health systems. The technical stack draws on artificial intelligence, supply-chain analytics, and automated communications, placing it at the intersection of several high-demand engineering disciplines.
Based in San Francisco, Zoomlogi targets a segment of logistics technology where technical sophistication must contend with stringent regulatory requirements and the inherent fragility of biological products. Engineers joining the company work on problems that combine large-scale data processing, predictive modelling, and real-time decision-making within a domain that carries real-world consequences.
