TransSECS is the easiest and fastest package for building SEMI SECS/GEM applications, making equipment communication and faba data collection for Industry 4.0 as simple as possible.

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AI/ML Data Collection for MIStudio/Mix

ErgoTech’s Intelligent Data Platform: AI/ML-Optimized Data Collection at the Edge

To unlock the full potential of AI and machine learning (AI/ML), manufacturers need reliable, real-time data from industrial operations. ErgoTech’s Data Platform, powered by MIStudio and MIX, makes this possible by seamlessly collecting and structuring data from machines, sensors, and enterprise systems. MIStudio is used to develop intelligent data applications, which are deployed to MIX, the IIoT execution platform designed for real-time, edge-based data collection and processing. MIX continuously collects and processes data from industrial equipment, factory systems, and cloud sources, ensuring that AI/ML models receive accurate, high-quality data for predictive analytics and automation. This approach enables faster decision-making, operational efficiency, and AI-driven process improvements.

AI-Ready Data Collection from Distributed Sources

MIStudio-built deployments running in the IioT execution platform, MIX, connect to industrial devices, controllers, sensors, business operations systems, UNS, databases, and cloud sources. This enables real-time data ingestion and processing at the edge, providing AI/ML models with high-resolution, context-rich data for advanced insights.

Data Mesh & Distributed Data Processing for AI

MIX enables a scalable, distributed data architecture, allowing decentralized data sources to function as AI-ready data products. MIStudio-built deployments manage and transform these data flows, ensuring that each dataset is structured, federated, and accessible for AI/ML applications across the enterprise. This approach optimizes real-time analytics and decision-making without requiring traditional centralized data processing.

Continuous AI Data Processing for Real-Time Insights

MIX operates 24/7 at the edge, ensuring low-latency, high-availability data processing for AI-powered applications. It enables event-driven AI analytics, real-time anomaly detection, and adaptive process control, allowing organizations to automate optimizations, detect patterns, and drive efficiency across operations.

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