AI driven Snotra
Realtime Model Thalami

Real-time Collection of Manufacturing Data and Rapid Problem Solving
The RMT solution instantly collects and analyzes various types of data from manufacturing site sensors, IoT devices, web applications, and existing enterprise databases. By leveraging streaming data processing technologies, it enables minimal latency and allows for the rapid identification and response to issues on the production floor.

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Real-time AI Model Learning and Autonomous Updates
As manufacturing environments evolve and data accumulates, the AI models in RMT automatically learn and update in real time. This ensures consistently high accuracy based on the latest data and provides a self-optimizing feedback loop without the need for manual intervention.

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Deep Learning-based Real-time Anomaly Detection and Predictive Maintenance
Using deep learning and machine learning algorithms, RMT detects anomalies in the manufacturing process in real time and immediately alerts managers. It also predicts potential risks such as quality degradation or equipment failure, enhancing process stability and quality management.

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High-performance Distributed Processing for Cloud and On-premise Environments
RMT guarantees high-speed data processing in both cloud and on-premise environments. With a microservices-based architecture, it offers excellent scalability, allowing for flexible system expansion and stable performance even under increased data volumes and simultaneous requests.