A Team Purpose-Built to Solve BCI's Core Challenge
Our mission is to build the foundational software layer that will unlock the next wave of innovation in neurotechnology. We started Nimbus because we experienced the limitations of existing BCI software firsthand. After years of working at the intersection of deep tech and commercial applications, we saw a universal bottleneck: the lack of a real-time, adaptive, and explainable engine. We are building the platform we wish we had.
The Core Team
Bart van Erp
Chief Product Officer
Leading product development, building probabilistic programming tools that enable real-time AI applications in signal processing and beyond. PhD obtained in Electrical Engineering from the Eindhoven University of Technology, specializing in Bayesian machine learning.
Bart van Erp
Chief Product Officer
Leading product development, building probabilistic programming tools that enable real-time AI applications in signal processing and beyond. PhD obtained in Electrical Engineering from the Eindhoven University of Technology, specializing in Bayesian machine learning.
Research & Scientific Leadership
Bert de Vries
Research Advisor
Bert provides the crucial bridge between our commercial product and the frontiers of academic research. As a leading academic with deep expertise in probabilistic models and signal processing, he guides our model development and validation, ensuring our engine is grounded in scientific rigor.
Jeff Beck
Research Advisor
Accomplished computational neuroscientist and AI researcher with a proven track record investigating, designing, testing, and developing state-of-the-art methods for modeling human behavior. Chief architect and the mathematical foundations and statistical tests for cortical implementations of probabilistic inference and learning.
Dr. Alexander Kuck
Research Advisor
Experienced industry leader and scientist with deep expertise in neurotechnology, brain–machine interfacing, and applied machine learning. Combines a strong scientific foundation with extensive experience in medical device software development and strategic innovation, bridging the gap between cutting-edge research and real-world medical applications.
Bert de Vries
Research Advisor
Bert provides the crucial bridge between our commercial product and the frontiers of academic research. As a leading academic with deep expertise in probabilistic models and signal processing, he guides our model development and validation, ensuring our engine is grounded in scientific rigor.
Jeff Beck
Research Advisor
Accomplished computational neuroscientist and AI researcher with a proven track record investigating, designing, testing, and developing state-of-the-art methods for modeling human behavior. Chief architect and the mathematical foundations and statistical tests for cortical implementations of probabilistic inference and learning.
Dr. Alexander Kuck
Research Advisor
Experienced industry leader and scientist with deep expertise in neurotechnology, brain–machine interfacing, and applied machine learning. Combines a strong scientific foundation with extensive experience in medical device software development and strategic innovation, bridging the gap between cutting-edge research and real-world medical applications.
Ready to build the future of neurotechnology?
See a live demonstration of the Nimbus engine and discuss how our technology can accelerate your BCI development.