Artificial Intelligence
Software and Services for Data-Driven Process Optimization
Artificial Intelligence for Industry
The Path to Smart Production
Imagine a factory that runs like a perfectly coordinated orchestra: people, machines, and processes working in harmony to ensure maximum efficiency and quality. With artificial intelligence (AI), this vision becomes reality.
In manufacturing and production, AI opens up entirely new possibilities. It analyzes vast amounts of data in real time, identifies patterns, predicts events, and continuously optimizes processes. But the best results emerge when AI and human process expertise are combined – working hand in hand to enable informed decisions and sustainable innovation.
From predictive maintenance and quality control to real-time process optimization, AI brings transparency, reduces costs, and strengthens competitiveness.
Together, we make your production smarter, more efficient, and future-ready.
AI Services
Data-Driven Process Optimization
Bringing AI to Your Machine
We bring artificial intelligence (AI) directly into your production processes – from data acquisition to real-time optimization. Our services cover the full spectrum of AI integration:
- EData Acquisition and Preparation: We lay the foundation for smart production by implementing measurement technology, ensuring precise data collection and efficient preprocessing in accordance with VDI/VDE 3714.
- Extracting Insights from Data: Using AI and machine learning, we generate actionable insights and enable data-driven decision-making – from intelligent analysis to expert system modeling.
- Applying Data in the Process: Our vision is the integration of online AI models that respond in real time and continuously improve production processes – a “closed loop” based on the CRISP-DM methodology.
With our software products and data science expertise, we drive the transformation toward intelligent, autonomous manufacturing and production.
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The Foundation of Successful AI Projects
Excellent Data Preprocessing
Preparing and validating data is a critical success factor in any AI project. High-quality data is the foundation for precise and robust models – following the principle: Garbage in, garbage out.
Our datAIndustry Edge App was specifically developed to meet these challenges. It enables process experts on-site to contribute their knowledge early in the data preparation stage. Features such as data and time series labeling and annotation allow the integration of contextual information. This creates a high-quality, meaningful data foundation for analytics and AI applications.
The datAIndustry App actively addresses model drift – the degradation of AI model performance due to changing process conditions or data – by capturing high-quality, preprocessed, and context-enriched data. This enables regular model updates and ensures long-term accuracy and reliability in production environments.
With this solution, we create efficiency, transparency, and a sustainable foundation for successful and adaptive AI projects.
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Model Generation and Training
Your Path to Data-Driven Excellence
For the successful implementation of AI in manufacturing and production, precise and robust models are essential. We offer comprehensive services in model generation and training – tailored to your specific requirements.
Our services include the development of customized AI models, training with high-quality, context-enriched data, and seamless integration into your production environment. Using various features of our software, we combine expert knowledge with raw data to create the ideal foundation for model training. After deployment, we continuously monitor model performance to detect deviations and apply regular optimizations.
Your benefits: cost reduction, improved product quality, minimized downtime, and more efficient resource usage. Our tailored AI solutions provide sustainable economic advantages and ensure flexibility in a dynamic market environment.
With SEITEC, you optimize your production processes through data – future-ready and resilient.
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