The Vision SamurAI ecosystem is an intelligent, no-code end-to-end computer vision platform developed by Tapway to streamline the creation and deployment of Vision AI models. At its core are two main components: SamurAI Central and SamurAI Copilot, designed to serve businesses and technical teams seeking scalable and customizable AI-driven solutions for many industries. SamurAI Central is a platform where users can curate datasets, annotate data, and train vision AI models. It includes tools for dataset management, model configuration, and model training, enabling users to build computer vision models regardless of technical expertise. SamurAI Copilot, on the other hand, is the deployment and monitoring companion of the ecosystem. Copilot transforms raw detection data into actionable intelligence. It is used to deploy trained models, monitor live performance, and generate real-time dashboards. It also enables the application of custom logic rules to detection outputs, supporting business-specific workflows such as alerting, counting, and behavior-based triggers. Together, the Vision SamurAI ecosystem provides a plug-and-play, human-in-the-loop framework for building and scaling computer vision solutions. In addition to powerful tooling, Tapway offers end-to-end support, including model deployment, project management, and dedicated technical assistance, ensuring a smooth transition from development to production. This makes Tapway the ideal partner for businesses in Southeast Asia, eliminating the need to rely on overseas AI vendors with limited local context or support. Key benefits include reduced time to deployment, lower annotation costs, greater model precision, and ease of use for both technical and non-technical users. The platform is particularly tailored for enterprises seeking advanced, locally supported AI tooling with minimal overhead.
Empowers users to manage, annotate, and train vision AI models in one platform without needing coding skills.
Deploy and monitor models end-to-end using Copilot’s plug and play pipeline builder seamlessly on any device (edge or cloud), with built-in dashboards, visual reporting, and logic rule customization.
Includes dedicated auto-label features for object detection, segmentation, and classification, significantly accelerating annotation and reducing manual labour across varied computer vision workflows.