Caius started as a group of friends who, through their university research, saw that they could create innovative products using scientific data and Artificial Inteligence learning models. At the same time, we were actively involved in hiking and exploring nature, so with Metsovo and the Region of Epirus as our base, our first product was born, initially as a research project, to explore with an intelligent tool the trails that exist in our forests!
Through his work in downstream space applications and his background in computational physics—having collaborated as an external research associate with NCSR Demokritos—he seamlessly combines satellite data to build practical B2B AI solutions. Driven by his close ties to rural Greek communities and his mentorship in digital social innovation, he acts as the engine of the team. He leads strategy, builds key partnerships, and tests real-world features designed around local needs. His primary goal is to help revitalize the agricultural sector through modern tools and better working conditions, making it viable and appealing for the next generation to take the lead.
An accomplished electrical engineering graduate and current PhD candidate at New York University specializing in Artificial Intelligence, Marios focuses on the application of deep learning to multispectral and geospatial data. His expertise includes advanced GIS processing and the development of AI segmentation algorithms for environmental monitoring, urban planning, and disaster response. With extensive experience in Computer Vision, Visual Common Sense Reasoning, and NLP, he bridges research and practical implementation, contributing to innovative solutions in sustainable development. A passionate hiker and nature enthusiast, he seamlessly combines his technical skills with Caius' vision, leading the development of AI models and the integration of intelligent systems into the company's applications.
An experienced researcher and systems engineer in big data systems, graduate of the Department of Informatics at the University of Athens, who completed his master thesis at EPFL (École Polytechnique Fédérale de Lausanne) focusing on the optimization of large-scale data architectures. He specializes in the efficient design and implementation of deep learning systems — from data loading and preprocessing to optimal model configuration for complex tasks. Through this approach, he delivers compact and high-performance AI frameworks that fully utilize available computational resources, ensuring impactful and reliable results. As head of Caius' technology department, he oversees software architecture, data storage and processing, deep learning development, and project management, leading the research and technological backbone of the company.
From Mechanical and Aeronautical Engineering to the startup ecosystem, Petros combines his engineering background with a strategic role in Caius' business development and digital operations. He is responsible for defining outreach priorities, selecting prospective partners, and coordinating sales initiatives, ensuring that each collaboration aligns with the company's long-term goals. Beyond the commercial aspect, he also oversees the quality and verification of uploaded material to maintain consistency and reliability across platforms. With a strong understanding of environmental monitoring and data-driven analysis, he bridges the gap between technical research and user-oriented experience, contributing both to product improvement and company growth.
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