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
Our mission is to lead the next era of agriculture by delivering cutting-edge AI and robotic technologies to farmers worldwide. We are dedicated to maximizing crop yields and farm profitability while championing truly sustainable practices. By providing precision weed management solutions that eliminate the need for harmful chemical herbicides, we actively help protect soil health and the environment. We empower farmers with innovative, autonomous tools to sustainably feed an ever-growing global population.
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