Uncover crucial insights that can’t be detected by traditional forecasting.

Exclusive maritime market insights for Bulk Carriers, Containers & Chemical ships with over 75% prediction accuracy.

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We help Shipowners, Ship management, Charterers, and Logistics companies eliminate 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.

Eliminate Guesswork & Human Error

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Short & Long Term Forecast for Every Stage of Vessel Life Cycle

From Planning to Ship Building, Operations, Maintenance, and Recycling.

Monthly Forecasting

For chartering and carriers to fix rates for ship operations.

Quarterly Forecasting

For technical/maintenance teams to plan the best time for maintenance.

Annual Forecasting

For ship owners, investment & management, and financial institutions to decide on building or recycling ships. 

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Plans for all levels

40+ Active Forecasting for all vessel types across all major shipping routes.

Available on a subscription or Ad-hoc reporting based on your specific use case.

For Bulk Carriers

Panamax, Handymax, Handysize

Average & Time charter rate.

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For Containerships

Feeder 350 - 2,750 TEU

Average & Time charter rate.

For Chemical Ships

10 Chemical's Voyage

Average & Time charter rate.

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Take a deep dive in Maritime Insights

TEAM

Dr. Payman Eslami

Founder & Director

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.

Zubair Mohammad

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.

Zare Mohammad

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

Erfan Moosavi

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.

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