“Based on your understanding of that, [you have to] make an estimation of how strong the market is going to be, how the freight rates can go higher or lower in the foreseeable future. Based on that, you will decide if you're going to book your ship today or maybe wait a couple of days to achieve a better commercial result.”

This is essentially what the Signal Ocean platform does. Having extracted key information from emails, it combines it with market data to provide insights into which vessels are available for loading in a certain geographical area, when and for how long they will be available, as well as their current market share.

“This helps you improve your decision-making in deciding; if you are the ship owner, [it helps you decide] if you should book a ship or wait a little bit,” says Martinos. “Similarly, if you are a charter or oil major, you can decide if you should quickly book the ship in order to avoid the hike in raids in the next few days. You can also rank the ships by how much money on a per day basis a ship would make if it decided to get booked for cargo in a place and a certain time.”

AI is the lifeblood of the whole platform. “In shipping, a lot of market data goes back and forth between participants in non-structured formats,” explains the Greek tycoon, “meaning that there are things that are not written in a computer-readable way necessarily.”

This is where AI comes in, finally providing that comprehensive view of the market shippers and brokers were previously lacking. “AI now allows you to read these emails automatically and structure information and collect it in a way that then you can more easily use it to understand what the ship is doing.”

Yet despite AI making it look easy and straight-forward to use, the Signal Ocean platform actually has quite a complex architecture supporting it, thanks to Martinos’ background in robotics and mechanics.

It is, in fact, a combination of AI, machine learning and other cutting-edge technologies that ensure that all companies’ data is safeguarded inside Signal Ocean’s “secure data vault”. It further allows each client to have a personalised access to market insights.

“We have built a system so that each company has its own separate data bucket which is only used by that company alone,” explains Martinos.

“In shipping, not everybody has an equally strong understanding of the data for every part of the world,” he continues.

This essentially means that some companies are better informed on activities in certain geographical areas compared to others. For this reason, “our platform has been designed from the ground up to respect the fact that different companies are going to have different information and creates a view of the world based on the data that the particular subscriber has put into the system.”

As exciting as these technologies can be, in the eyes of many industry players, they still represent a set of unexplored – and therefore dreaded – waters. Nonetheless, Martinos claims his platform gained shippers’ trust because it does not entirely disrupt the industry and its mechanisms.

“The industry has been reluctant for many reasons,” he says, adding that one of them is the fear that new technologies upset the existing dynamics of the commercial space.

“If a company in the Silicon Valley created a map that disseminates the same information to everyone in the market, people would not adopt it, because they wouldn’t want the existing dissemination asymmetry to disappear, as it is something that is really hard to beat.” For this reason, Martinos says Signal Ocean was created in respect to the existing market structure, and serves it without trying to change it.

A second taboo has to do with the mathematical problems that need to be solved in order to blend all the available information into useful lists on the platform. Yet, as it turns out, “there is a mathematical parallel between the software we're building here and autonomous car technology,” explains the shipping mogul. “There are not many teams in the world that can work on producing reliable autonomous cars and the same is true for shipping software that optimally blends information the way our platform does.”

Lastly, another common concern is that new technologies will come at odds with brokers and their role in ship management. However, in this case, Martinos says the purpose of Signal Ocean is quite the opposite: “Brokers play a vital role in the shipping industry and global shipping supply chain by routing the correct information and helping people find the correct cargo or ship; we are trying to embrace that philosophy and designing a software to work for all three stakeholders - charterers, ship owners and brokers.”