Helping shipping companies optimize voyages with AI, cutting fuel consumption and CO₂ emissions by at least 10%.
Helping shipping companies optimize voyages with AI, cutting fuel consumption and CO₂ emissions by at least 10%.
dozens of real-time parameters - from weather forecasts to port congestion
fuel consumption, achieving lower CO₂ emissions
operational efficiency & environmental regulations compliance
THETIS AI is an advanced maritime technology solution that integrates seamlessly with onboard navigation and performance systems.
Our AI-driven algorithms process dozens of real-time parameters – from weather forecasts (wind, wave height, currents) to port congestion and vessel-specific characteristics – to deliver a fully optimized voyage plan.
The result: reduced fuel consumption, lower CO₂ emissions, improved operational efficiency, and full compliance with tightening environmental regulations – without disrupting daily operations.
We are proud to collaborate with leading shipping companies, industry partners, and investors to drive innovation in maritime AI voyage optimization.
Behind THETIS AI is a dedicated team of maritime experts, AI specialists, and innovators driven by a shared vision: to transform the way ships operate.
Our diverse backgrounds, from naval operations to advanced machine learning, give us a unique advantage in tackling the challenges of efficiency and sustainability in global shipping.
CEO & Co-Founder
Possesses extensive maritime and business expertise, with a proven track record in leadership roles across multiple companies and industries. Lt. Commander (res.) in the Israeli Navy. B.Sc. industrial engineering and management (The Open University). B.A. multidisciplinary studies in humanities (University of Haifa).
CTO & Co-Founders
Possesses extensive experience in diverse technologies, having served as CTO in multiple companies and led innovation across various industries. MBA (University of Haifa). B.A computer science (Technion).
Chief Revenue Officer
Possesses extensive expertise in shipping, business, and finance, gained through work with a variety of companies and industries. Lieutenant (res.) in the Israeli Navy. B.A computer science (The College of Management). B.A. multidisciplinary studies in humanities (University of Haifa).
Advisory Board
AI researcher specializing in data mining,
pattern recognition, and data summarization algorithms for big data and deep learning, with applications in computer vision and autonomous
systems, and Director of the Robotics and Big Data Lab at the University of Haifa. Postdoc at MIT and Caltech. 11 Ph.D. data mining and pattern recognition (Tel Aviv University). M.Sc. approximation algorithms, and B.Sc. computer science and philosophy (Tel Aviv University).
Advisory Board
EVP and COO at ZIM Integrated Shipping
Services, and former Head of the Planning, Maintenance, and Logistics Division in the Israeli Navy. Captain (ret.) in the Israeli Navy. MBA (Technion). B.Sc. Marine Engineering (Technion).
Advisory Board
Former VP of Naval Systems at Elbit Systems Ltd. and former Chief of Staff and Second-in-Command of the Israeli Navy. Rear Admiral (ret.) in the Israeli Navy. B.A computer science and mathematics, and MBA (University of Haifa).
