Protex AI builds privacy-preserving computer vision systems that monitor workplace safety by analyzing CCTV feeds in real time. The tech stack (PyTorch, TensorRT, ONNX, PostgreSQL, Kubernetes) reflects a mature ML infrastructure focused on model optimization and deployment at scale — a critical requirement for processing video across distributed facilities. Active projects show the company is simultaneously scaling the core safety detection engine while tackling client adoption and retention, suggesting the hard part isn't the AI but driving ROI realization for enterprise customers.
Protex AI provides AI-powered safety monitoring for enterprise operations teams in warehouses, manufacturing, and logistics environments. The platform integrates with existing CCTV infrastructure and uses computer vision to detect unsafe behaviors autonomously, giving facilities teams real-time visibility into workplace incidents. Founded in 2021 and based in Dublin, the company operates across Ireland, the UK, the US, and Hungary. The product roadmap balances technical deepening (model optimization, deployment pipelines) with commercial execution (client onboarding, platform adoption, churn reduction).
PyTorch, TensorRT, ONNX for ML; Python, Node.js, NestJS, and Express for backend services; PostgreSQL for data; Kubernetes for orchestration; GraphQL for APIs; Figma and Adobe Creative Suite for design.
Core product: developing and optimizing computer vision systems for safety detection. Commercial: client onboarding, platform adoption, and retention improvement. Organizational: scaling for geographic expansion, building brand infrastructure, and improving executive enablement processes.
Other companies in the same industry, closest in size