Empowering manufacturing operations management excellence
Uniting hybrid architecture, intuitive UX, AI intelligence, and seamless composability in our next-gen MES
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Data collection and contextualization
Data collection and contextualization layer gathers data from sensors and devices, and adds meaning and relationships to it, to prepare data for analysis and visualization in manufacturing factories.
Data analytics and cognitive insights
The data analytics and cognitive insights layers collect, process, and analyze data from sensors and devices in the manufacturing environment. This data can be used to identify trends, patterns, and anomalies that can help manufacturers improve their operations. Cognitive insights can also be used to automate tasks, make predictions, and generate recommendations.
Manufacturing copilot with inference and predictive Engines
Our manufacturing copilot uses specialized large language models (LLMs) and GenAI to help factory operators, engineers, and managers automate tasks, improve efficiency, and prevent downtime.