Blog posts
Recent use cases
Smart Manufacturing & Maintenance
Computer vision based quality inspection of brick slips
Manufacturing brick slips is a highly intricate process, with even a 1mm variance holding significant quality implications, and Wienerberger’s quest for precision and efficiency in the face of evolving industry demands.

Intelligent Data Quality Optimization
Streamlined c-class item sourcing
GIS International, specializing in sourcing challenging C-class items for businesses, sought to enhance their services and scalability. They chose Faktion’s IDQO solution to automate manual data quality tasks and optimize data quality.

Intelligent Data Quality Optimization
Automated ETIM classification
Cebeo, a Belgian electronics distributor under the Sonepar group, partnered with Faktion to enhance data quality for reporting, product management, and commerce. This collaboration resulted in an AI system for automated ETIM search and classification.

Exploring the AI landscape
MyT Learning & MySpeech
An AI language assistant that provides live subtitles for classroom lessons in Dutch, offering support to teachers for more effective language learning goals.

Reminiscing about the early days of chatbots, Chatlayer and this new era of GPT technology
In a serendipitous reunion, we catch up with Pieter, former CTO of Chatlayer, now collaborating with his venture Transfo.energy. We explore Pieter’s insights on chatbots, AI’s transformative influence, and his journey from skepticism to revolutionizing Chatlayer in 2019.
Smart energy management, the answer to sustainable energy consumption
From image recognition to smart quality control, Machine Learning already helps us on many occasions. From assisting us in our everyday lives to helping us tackle the world’s most challenging problems – such as energy consumption.
How to deploy sensor data in chemical manufacturing
Discover how AI and ML can revolutionize the chemical industry in this blog post. We explore smart energy management, predictive asset maintenance, process control, and production simulation, all leading to increased efficiency, cost savings, and enhanced quality.
4 ML use cases which show that predictive maintenance is definitely here to stay
Discover predictive maintenance’s impact on manufacturing and transportation: component failure prediction, anomaly detection, maintenance prioritization, and asset efficiency optimization, leading to enhanced efficiency.