Empower
your workforce
with AI
Empower
your workforce
with AI
Backed by founders from
Supported by
Supported by
Our team
Arda Arslan
Co-Founder & CEO
MSc Computer Science at ETH Zürich
Worked as the Founding/Lead Machine Learning Engineer at an ETH Zürich spin-off, and built the complete ML pipeline utilizing Graph Neural Networks to optimize the conversion of CAD designs into CAM instructions. Comprehensive experience in Statistical Machine Learning, Deep Learning, Large Language Models, Software Engineering, and building production-grade, real-time ML systems. 4 years of work experience as a Machine Learning Engineer.
Dr. Sergey Litvinov
Co-Founder & CTO
Senior Scientist at Harvard & ETH Zürich PhD at TUM
21 years of research experience developing algorithms for complex physical systems. 60+ peer-reviewed publications, and 1300+ citations. Developed and scaled GPU-accelerated scientific computing platforms. Authored open-source solvers for multi-phase flows and high-performance particle simulations. Comprehensive experience in Materials Science, Physics, Deep Learning, Large Language Models, Software Engineering, C++, CUDA, and high performance parallel computing.
Lillian Daniels
Head of Sales & Marketing
MSc Biochem. and Molecular Biology at University of Fribourg
5 years of sales experience on digital marketplaces. Comprehensive experience in biochemistry, wet-lab research, and microbial ecosystems. Languages: Native English, professional French, and basic German.
Our team
Arda Arslan
Co-Founder & CEO
MSc Computer Science at ETH Zürich
Worked as the Founding/Lead Machine Learning Engineer at an ETH Zürich spin-off, and built the complete ML pipeline utilizing Graph Neural Networks to optimize the conversion of CAD designs into CAM instructions. Comprehensive experience in Statistical Machine Learning, Deep Learning, Large Language Models, Software Engineering, and building production-grade, real-time ML systems. 4 years of work experience as a Machine Learning Engineer.
Dr. Sergey Litvinov
Co-Founder & CTO
Senior Scientist at Harvard & ETH Zürich PhD at TUM
21 years of research experience developing algorithms for complex physical systems. 60+ peer-reviewed publications, and 1300+ citations. Developed and scaled GPU-accelerated scientific computing platforms. Authored open-source solvers for multi-phase flows and high-performance particle simulations, directly addressing the computational demands of advanced fluid and structural modeling. Comprehensive experience in Materials Science, Physics, Deep Learning, Large Language Models, Software Engineering, C++, CUDA, and high performance parallel computing.
Lillian Daniels
Head of Sales & Marketing
MSc Biochem. and Molecular Biology at University of Fribourg
5 years of sales experience on digital marketplaces. Comprehensive experience in biochemistry, wet-lab research, and microbial ecosystems. Languages: Native English, professional French, and basic German.
Backed by founders from
Backed by founders from
Empower
your workforce
with AI