A.I. in the service of humans
The newest form of A.I., has one decisive feature that makes it so powerful:
The universal ability to learn.
Derived from neural structures in the human brain, Deep Learning gives machines the innate ability to learn from data and solve real-world problems in many areas of application. Up to now only a few big companies have profited from this innovation. We want to change this by:
Making A.I. widely accessible.
Modular A.I. adapted to your needs
WHO WE ARE
We are an experienced technical founder team with backgrounds
in A.I. research and enterprise-scale software engineering.
Dr. Christian Thurau,
Chief Technology Officer
Christian is an entrepreneur and machine learning researcher with 15 years of experience. He has worked at renowned research institutes, such as the Center for Machine Perception in Prague and the Fraunhofer IAIS in Bonn. He was technical lead of The Unbelievable Machine Company’s data science team, and co-founded the startup Game Analytics. He has developed neural nets that have learned to play games, and achieved one of the first implementations of convolutional neural nets on GPUs in 2008.
Dr. Florian Hoppe,
Florian holds a PhD in machine learning from Kiel University. Over the past 15 years he has implemented high-speed databases for algorithmic trading, brain-computer interfaces, surgical navigation systems, and big data analytics for mobile apps and digital advertising. Florian has worked as a consultant and manager for companies of various sizes in a variety of industries. He is an expert on recurrent neural networks and language modelling.
Dr. Ingo Bax,
Ingo is a former professor of computer science at the University of Applied Sciences in Münster. He has more than 20 years of experience in the web, data and consulting industries. As an expert on software architecture, large-scale data processing and web engineering, he has co-founded several companies. He gained his PhD in computer science for his research on convolutional neural networks and pattern recognition.
Roland Memisevic PhD,
Roland is a very well-known member of the deep learning community. He received his doctorate from the University of Toronto, the birthplace of Deep Learning, and subsequently worked as a researcher in Toronto, Princeton, Zurich and Frankfurt. Since 2012 he has been on faculty at the MILA Machine Learning Institute at the University of Montréal, where he is on leave since 2016 to work full-time for TwentyBN.
Interested to join our team?