Key Technologies
At Qlector, we bring together advanced technologies and a deep understanding of shop-floor challenges to help manufacturers better plan, guide, and optimize their production.
Working behind the scenes, these technologies convert complex data into clear, actionable insights and informed decisions.
The Building Blocks of Qlector LEAP
Since 2015, in-house research and development has produced secure, reliable, and proven technologies that power Qlector solutions.
Probabilistic Machine Learning
Probabilistic machine learning is a method that considers different possible outcomes instead of just one definite result. It works by looking at various scenarios and assigning each a likelihood. This allows the system to understand many factors that affect a decision, allowing better predictions even when conditions change.
In manufacturing, probabilistic machine learning enables more accurate forecasting, even when data is incomplete or highly variable. For instance, the time needed to complete an order is influenced by many factors – such as machine availability, material supply fluctuations, or worker experience. Probabilistic models incorporate all these uncertainties to help planners make better-informed decisions, that boost efficiency and minimize surprises.
Proven technology, trusted by
Security First
The Company implements a holistic information security management system (ISMS), based on the ISO 27001:2013 standard. The system provides a framework for continuous development, improvement, and education of all employees of the Company with the aim to perform their activities in line with security goals.