Document Library

ROSA AI turns scattered internal data into an enterprise-ready AI platform, deployed entirely on the customer infrastructure. Four integrated modules cover the workday: AI Knowledge Center builds no-code chatbots that answer internal documents with verifiable source citations; AI Meeting Assistant transcribes meetings, identifies speakers, and auto- generates summaries, decisions, and assigned tasks; AI Task Management coordinates work across individuals and departments on one platform; and Governance & Control enforces department-based permissions, tracks AI usage, and reports on activity.

Centerm Smart AI Classroom Solution transforms existing classroom cameras and digital learning infrastructure into a real-time education analytics platform. Powered by the Centerm AI Edge Box AG1000, it uses computer vision AI to track attendance, engagement, participation, classroom behavior, and teacher-student interactions, helping educators improve learning outcomes through data-driven decisions.

LYNX MOSA.ic.AI is a unified software platform that enables deterministic, certifiable deployment of AI and advanced workloads in mission-critical edge systems. Optimized for 11th Gen Intel® Core processor-based systems and accelerated with Intel® Extension for PyTorch*, the platform helps deliver predictable AI performance, low-latency inferencing, and efficient resource utilization at the edge.

Monitoreal's platform transforms existing IP camera deployments into intelligent, privacy-centric systems to perceive, reason, and act on a single Intel edge appliance— with no cloud connection or infrastructure changes required.

SeeChange helps retailers reduce full-store shrink, improve checkout accuracy, and enhance customer and colleague experiences with real-time Vision AI. Using existing cameras and sensors, it connects activity across aisles, shelves, checkouts, and store exits, to identify loss risks, support shopper guidance, resolve issues earlier, and deliver actionable insights through centralized dashboards.

Shekel WeightAI™ enables secure, frictionless retail by combining IoT load sensors with AI- powered product-recognition. Built on 55 years of weighing expertise and an installed base of more than one million checkout scales, WeightAIdelivers up to 99.8% SKU recognition accuracy across self-checkout, smart coolers, smart carts, and other unattended retail applications.

Ryarc CampaignManager is an enterprise digital signage and content management platform that combines content scheduling, conditional playback, audience analytics, device management, and IoT integration in a single solution. Running on devices using Intel® processors, the platform uses OpenVINO toolkit optimized AI workloads to analyze audience and sensor inputs at the edge.

AI Teacher is a closed-loop teaching platform, not a single tool. Teachers upload their material and instantly generate quizzes; after teaching, they assign the quiz, and students answer and see instant results. Students then use Revise Buddy, an AI chatbot that clarifies what they got wrong, guiding them step-by-step rather than handing over answers.

Traditional automatic visual inspection in electronics manufacturing was the domain of surface-mount components only. Using components from the Intel Open Edge platform and running only on an Intel® Core Ultra Series 3 processor-based CPU, Decamath brings AI computer vision to through-hole components inspection.

vCloud.ai’s Cluebase VMS is an enterprise- grade video management and AI analytics platform that helps organizations improve security, situational awareness, and operational efficiency.

Overview AI's OVX Inspection Platform delivers AI machine vision on the production line, pairing automated visual inspection with real-time defect detection. Combining computer vision, generative AI, and deep learning, OVX trains production-ready models in under an hour from minimal image data, and Defect Creator Studio speeds deployment through synthetic defect generation.

The OnLogic MC510-55 is an industrial edge computer designed to support AI inference, machine vision, and advanced automation workloads in demanding deployment environments. Configurable with Intel® Core™ processors (Series 2), the system can be tailored to meet diverse performance and application requirements.