Building the Intelligent Shopfloor: XR, AI, and Digital Twin–Driven Operations
Procedural Mastery through "Doing"
Leveraging Dale’s Cone of Experience, AjnaVidya moves beyond classroom theory into active, experiential learning. Our manufacturing simulators allow workers to master complex assembly sequences and machine operations within a 1:1 digital twin environment. This ensures that muscle memory is locked in, reducing human error and significantly improving First Pass Yield (FPY) in real-world production
Scalable Skill Development for Industry 4.0
Manufacturing excellence requires constant upskilling as technology evolves. AjnaVidya eliminates the need to halt production for training. By deploying standardized XR modules, enterprises can train thousands of workers simultaneously across different geographies on the latest CNC operations, robotic arm maintenance, and safety protocols
Core Manufacturing Use Cases
XR + AI Training (Skill Acquisition Layer)
Build workforce capability through immersive XR simulations powered by AI-driven guidance and feedback. Enable operators and technicians to practice SOPs in controlled environments, with LMS tracking proficiency, readiness, and certification before deployment on the shopfloor
Remote Assistance & Digital Workflows (Execution Layer)
Empower on-ground teams with assisted reality headsets for real-time expert guidance and hands-free SOP execution. Digitize workflows through CMS to ensure task accuracy, reduce errors, and improve first-time completion rates across operations
Quality, Safety & Compliance (Governance + Validation Layer)
Unify safety protocols, inspections, and audits into structured digital workflows. Enable LOTO training through XR, enforce compliance via step-by-step validation, and capture audit data with real-time reporting and traceability across sites
Digital Twin Creation & Integration (Foundation Layer)
Design and develop high-fidelity digital twins of machines, production lines, and plant environments. This foundational layer powers training, execution, and analytics, ensuring seamless continuity between virtual learning and real-world operations while enabling long-term optimization and scalability
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