Unlock the full potential of your data with our cutting-edge Industry 4.0 data visualization and analytics software.

Our state-of-the-art technology allows you to easily extract insights from your data and make data-driven decisions in real-time. With intuitive interfaces, customizable dashboards, and powerful machine learning capabilities.

Trusted By Amazing Companies

uncover insights and opportunities hidden within data

We go beyond the traditional approach leveraging big data to uncover insights and patterns that may be hidden in the data. By combining the power of advanced unsupervised models, with the vast amounts of data available, we are able to deliver actionable insights that drive real-world results for our clients. Whether it's identifying inefficiencies in your operations, predicting future trends, or discovering new opportunities, we can help you turn data into a competitive advantage.

Remote Monitoring and Control

The intuitive interface and powerful visualization tools make it easy for users to explore and understand their data, even if they have limited technical expertise. The dashboard provides a powerful and flexible tool for data exploration and analysis that can help users make better data-driven decisions.

Data Visualisation

Our user-friendly dashboard allows users to easily visualize data in up to 5 dimensions

Data Analytics

The dashboard also includes advanced features such as filtering, and aggregation, which allow users to perform detailed analysis.

Who We Are

Peyman Z. Moghadam

• Co-Founder

Dr Peyman Z. Moghadam is Associate Professor at University College London. Over the past 10 years, he has closely worked with companies such as Siemens, Shell, Air Products and Svante to develop big-data solutions for nano-materials discovery, and Industry 4.0 applications.

p.moghadam@ucl.ac.uk

Kesler Isoko

• Co-Founder

Kesler Isoko is a PhD candidate at the University College London. He has experience developing dashboards and IIoT data pipelines. His research focuses on applying AI and machine learning to digital manufacturing.

uceckis@ucl.ac.uk

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