QualityOS is a cloud-based quality management platform that uses AI-powered machine vision to provide real-time defect detection and comprehensive factory visibility. The platform deploys vision controllers at the edge that integrate with existing cameras and production equipment, offering inspection capabilities with 99.9% accuracy at processing speeds exceeding 1,000 parts per minute. It combines advanced machine vision tools for defect detection, label verification, and part classification with comprehensive tracking systems that enable instant access to inspection records and complete part histories. The platform's core strength lies in its autonomous AI technology called VisionStream, which learns to identify defects by observing normal production without requiring pre-labeled training data or production line stoppages. This self-training capability allows the system to adapt to new products and production variations while maintaining high accuracy levels. The edge-based architecture ensures continuous operation even during network connectivity issues, with all inspection data automatically syncing when connections are restored. QualityOS is designed for rapid deployment within one week and offers extensive remote configuration and troubleshooting capabilities, enabling manufacturers to manage quality operations from anywhere. The platform provides enterprise-grade security with SOC 2 certification and integrates seamlessly with existing business systems through REST APIs while connecting to production equipment via standard industrial protocols including Ethernet/IP, Modbus, and TCP/IP. The platform serves a diverse range of manufacturing environments, targeting production engineers seeking to boost throughput and eliminate quality escapes, quality managers focused on root cause analysis and yield improvement, systems integrators requiring turnkey solutions, and IT teams responsible for secure system integration. QualityOS supports multiple industries including automotive, food and beverage, electronics, consumer packaged goods, paper and pulp, and industrial construction, providing manufacturers with the tools to reduce quality escapes by up to 95% while gaining operational insights from day one of implementation. For more information, visit www.elementaryml.com