Applied Machine Learning
Predictive analytics is our passion
mindfex is an Austrian based technology enterprise and a leading center of excellence, focusing on applied machine learning, artificial intelligence and predictive analytics.
Our professionals are specialized in algorithm engineering, including development, tuning and optimization of models for manifold predictive analytics and Big Data applications.
Unique models and better services due to customization, top accuracy, high performance and large scaling.
The mindfex team has more than 10 years of hands-on experience, especially in the supervised learning area. We focus on time series and structured data, solving problems in the domains of binary classification, multiclass classification, regression and ranking.
Our algorithms are used in a wide variety of industries. Amongst others, we have worked on models for closing probabilities for opportunities, sports outcome predictions, derivative pricing, credit default probability, demand forecast in supply chain management, and many more.
Awards & international recognition
mindfex lead engineers Andreas Töscher and Michael Jahrer are well-known as Netflix Grand Prize winners. Furthermore, they have been top performers and winners of several relevant Kaggle competitions and KDD cups. By participating in these international scientific and industrial contests, our experts can compete with other machine learning leaders and ensure to stay on top.
Our analytics leaders have been frequently invited to international scientific conferences.
They are well-known experts and part of the leading machine learning community
AI/ML R&D partnership
Consulting & Advisory
„Benchmarking against others has always been a central component to ensure that we remain competitive.“
„Maintaining the quality of our skill set procures our ability to provide premier machine learning technology to our clients and partners.“
„We gathered knowledge, having successfully competed in a great number of machine learning competitions.“
„Improving model accuracy through clever feature design and ensemble implementation is one of our strengths in the model engineering process.“
„Our goal has always been to come up with the best apporaches possible. Many times it comes down to simple solutions that have been hard to discover.“
„For us, an agile model development includes rapid prototyping, continuous model refinement and detailed evaluation.“
Panel discussion: Model ensembling is the key to success
Our CTO and Kaggle grandmaster, Michael Jahrer, talked about the importance of model blending at an AI symposium hosted at the mindfex headquarters in Köflach most recently.
How data and digitization change our lives – A keynote lecture
Georg Pressler, CEO of mindfex, is invited to give a keynote lecture at the executive board meeting of the Styrian Chamber of Agriculture.
How to win a machine learning competition
Our predictive analytics executives about their success in Netflix Prize, Kaggle and KDD competitions.