Industrial Data and AI
Practical application of data and AI to real industrial problems: process optimization, predictive maintenance, RPA on repetitive quality or maintenance tasks, technical chatbots on documentation and failure history. Pragmatic approach, no experimental demos: everything we deploy must work in operation and survive a quality audit.
Our Expertise
Business Intelligence and operational dashboards (Power BI)
RPA to automate multi-system workflows (UiPath, Power Automate)
On-premise technical chatbots based on RAG for troubleshooting support
Process optimization through machine learning (Python, TensorFlow, Azure ML)
Predictive maintenance on historian data (PI System, Wonderware Historian)
MLOps and operational reliability of production models
AI validation in GMP environments (audit trail, explainability, traceability)
Internal team training for data tool appropriation
Technologies
Use Cases & References
Technologies used:
Technologies used: