Supply chain fraud detection and consumer authentication via mobile technology
Sproxil deploys mobile-first authentication and fraud detection across global supply chains for brand protection and consumer engagement. The tech stack shows a Java-heavy backend (Spring Boot, Spring MVC) paired with Node.js/Python/Go microservices and ML inference (TensorFlow Serving, TorchServe, Triton), with active work on AI backend scaling and infrastructure hardening — suggesting a shift from legacy JSP/Servlet monoliths toward containerized, model-serving architectures. Pain points around AI accuracy in regulated markets and scaling digital products indicate they're moving beyond single-point authentication into broader AI-driven consumer experiences.
Sproxil builds mobile technology and fraud detection platforms for multinational manufacturers and brands seeking supply chain visibility and consumer trust. The core offering spans product authentication, anti-counterfeiting verification, brand protection, and loyalty program deployment — delivered through direct consumer engagement on mobile channels. ISO 9001 and ISO 27001 certified. Operations span Africa, Asia, and North America with project execution across five continents and service capability in over 100 countries. The company employs 51–200 people headquartered in Cambridge, Massachusetts.
Backend: Java (Spring Boot, Spring MVC, Spring Data JPA), Node.js, Python, Go. APIs: REST, Express.js, FastAPI, Flask, Django, NestJS. ML/inference: TensorFlow Serving, TorchServe, Triton Inference Server. Infrastructure: Docker, Kubernetes, Linux. Data: MySQL. Testing: Jest.
AI backend infrastructure scaling, modernizing legacy systems, secure CI/CD pipelines, infrastructure hardening, and driving adoption in regulated markets. Recent focus includes AI medical response validation and clinical protocol development, indicating expansion into health-adjacent verticals.
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