Many computer vision projects reach proof of concept but stall before production due to high costs, deployment challenges and infrastructure complexity. This session explores the path from prototype to production, focusing on how to reduce the cost of vision workloads while ensuring scalability, security and efficiency. Plainsight’s new Pixel Prompts enables AI at the edge—running vision workloads on CPUs instead of GPUs, cutting costs and removing GPU dependency. We’ll cover architecture choices, key cost drivers and strategies for building and deploying efficient vision applications. A live demo will showcase how to go from a simple model to a production-ready deployment while optimizing compute resources and infrastructure. Whether you’re an engineer, architect or decision-maker, this session provides actionable insights into moving beyond POCs and scaling vision AI effectively.