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

Sergey Musienko

Sergey Musienko

CEO

Sergey is the driving force behind Nimbus's vision and commercial strategy. With a proven track record of scaling complex, deep tech ventures from concept to market leadership, he is focused on building a generational company that will define the BCI software category.

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Albert Podusenko

Albert Podusenko

CTO

Albert is the technical mind behind Nimbus. His deep, firsthand expertise in probabilistic programming ensures our technology is not just cutting-edge, but robust, scalable, and built to solve the real-world challenges developers face.

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Kirill Parinov

Kirill Parinov

CBDO

Kirill leads our market strategy and ecosystem development. He is an expert in forging the strategic, high-value partnerships that are essential for integrating our technology with hardware leaders and pioneering research institutions across the BCI landscape.

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Dmitry Bagaev

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.

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Bart van Erp

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.

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İsmail Şenöz

İsmail Şenöz

Chief Scientist

With M.Sc. degree in electrical engineering from the Eindhoven University of Technology (TU/e) and the Ph.D. degree in machine learning from TU/e, Ismail leads scientific discovery.

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Research & Scientific Leadership

Bert de Vries

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.

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Jeff Beck

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.

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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.