Driving farm
profitability and
sustainable growth
with Physical AI
Driving farm
profitability and
sustainable growth
with Physical AI
Backed by founders from
Supported by
Supported by
Our mission
To bridge the gap between digital intelligence and physical reality, we are building physical AI systems that actively improve human lives, solve real-world challenges, and safeguard our planet.
At our core, we believe the true potential of artificial intelligence extends far beyond screens and servers. Physical AI for good means bringing intelligence into the tangible world through robotics, smart hardware, and autonomous systems with a single focus: driving positive, real-world impact for a better tomorrow.
Our team
Arda Arslan
Co-Founder & CEO
MSc Computer Science at ETH Zürich BSc Comp. & Industrial Eng. at Koç Uni.
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 in Mechanical Engineering 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.
Our team
Arda Arslan
Co-Founder & CEO
MSc Computer Science at ETH Zürich BSc Comp. & Industrial Eng. at Koç Uni.
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 in Mechanical Engineering 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.
Backed by founders from
Backed by founders from
Driving farm
profitability and
sustainable growth
with Physical AI