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
Dmitry Bagaev
Core Architect
Dmitry is the core architect of the RxInfer engine and translates our deep-tech vision into a robust, developer-first platform. His research in message-passing-based Bayesian inference at the Technical University of Eindhoven provides the crucial link between cutting-edge science and practical, high-performance product development.
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.
Dmitry Bagaev
Core Architect
Dmitry is the core architect of the RxInfer engine and translates our deep-tech vision into a robust, developer-first platform. His research in message-passing-based Bayesian inference at the Technical University of Eindhoven provides the crucial link between cutting-edge science and practical, high-performance product development.
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.
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.
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.