We help Shipowners, Ship management, Charterers, and Logistics companieseliminate human error with our proprietary, academically proven AI algorithms so they can make more accurate and proactive decisions on pricing strategy, operations, and investment management.
Constantly Improve your contractual and pricing strategy.
Identify the best possible time and positions to take in the market either for long-term or secure capacity in spot markets.
Use trusted data to make correct decisions relating to your budget process, ROI, Risk management, and overall profitability of your Investment.
Payman has doctoral-level education in the Shipping industry. For his Ph.D. research, he developed an algorithm to solve market modeling challenges and deliver realistic forecasts.
He has been in the marine shipping industry for over 25 years. He has experience in different engineering roles, including new shipbuilding experience in South Korea and Canada since 2010.
Head of Data & Analytics
Zubair holds a Master’s degree in Statistics from the National University of Singapore and has more than 8 years of data analysis experience.
He has worked as an academic researcher at Nanyang Business School and as a market researcher at Nielsen. he drives Soshianest’s predictive machine learning algorithms as well as client-facing reports and articles.
Chief Technology Officer
Zare is an IT Ph.D. student and A.I. researcher with experience in data mining, neural networks, deep learning, and optimization algorithms.
He has 18 years of experience working with different platforms including Website technologies, Desktop Programming, A.I., and coding with programming languages including PHP, JS, C#, Python, and Matlab
Machine Learning Engineer
Erfan is responsible for developing AI and Deep Learning-based solutions and works on predictive algorithms to create forecasting models.
He studies Computer Science at the Shiraz University of Technology where he is the top student (Ranked number 1) and is a member of the Shiraz University of Technology Exceptional Talent Association since 2019.
He's worked in the Machine Learning field since 2018 and has more than 5 years of experience in Software Development.