Value proposition

Digital twin platform that simulates operational decisions and their impacts to solve complex industrial problems.

Driven by emerging technologies, like the Internet of Things, cyber-physical systems, and the so-called Industry 4.0, our businesses are becoming more and more complex every day. This makes taking sustainable operational decisions hard, especially when they need to be taken in live.

DataThings develops tailor-made digital twin solutions to simulate operational actions and their impact to solve complex industrial problems and guide sustainable operational decision-making.

DataThings has been founded in 2017 as a spin-off of the Interdisciplinary Centre for Security, Reliability and Trust (SnT) of the University of Luxembourg. The core technology of DataThings is based on many years of academic research and is now used in many real-world deployments across several domains, e.g., industrial, smart infrastructure, energy, and banking.

DataThings technology allows their clients to better understand the impact of their decisions and ensure the robustness, resilience, and sustainability of their businesses.

Machine learning, Data analytics, Simulations, Time series, Optimization, Industry 4.0, Learning, Luxembourg, Graph, Database, Deep learning, Data in motion, Blockchain, Neural networks, and Digital Twin