Nautilus Labs joined an incredible array of technologists, environmentalists, designers, VC firms, and maritime publications for SeaAhead’s inaugural Global Bluetech Summit—in Brooklyn. Read more in Mark’s Re-Cap.
The companies that are going to succeed in 2020 are investing now in tying their datasets and systems together. Simply put, disconnected systems are disconnected teams, and disconnected teams will fundamentally make less profitable decisions for your business—because they’re not looking at the same datasets—when every dollar counts.
Fuel quality is a topic that is top of mind amidst market uncertainties. Finding ways to mitigate risk and prove resilient under such uncertainties and fuel price pressures will help owners maximize the returns on their individual vessels and come out on top. Nautilus Platform captures SFOC changes immediately and surfaces it to the relevant stakeholders.
With fuel availability and cost top of mind ahead of IMO 2020, Nautilus Platform will become your team’s go-to tool for both Ballast and Laden Optimization. By knowing what your vessels are capable of, the fuel costs at different ports and the fixture opportunity at those ports, we will start our partnership by empowering each team in order to maximize TCE rates.
Nautilus announced $11M in Series A funding led by M12, Microsoft’s venture fund, along with Root Ventures. Existing and new investors including Quiet Capital, Trail Mix, and Amplifier Lab participated in the round, which brings Nautilus’ total funding raised to $14.5M. Nautilus is building artificial intelligence to advance the efficiency of ocean commerce.
How can our clients be confident that high frequency data outputted by sensors on their vessel is accurate? At Nautilus Labs, we’ve generated custom, vessel-specific mathematical models based off of troves of historical sensor data to not only predict future vessel behavior, but also to understand current vessel behavior and sensor data.
Usability and experience should be the cornerstone of every technology. How many times have you been on the receiving end of software services only to encounter an interface that is overly complicated or a user flow that is counter intuitive to your pre-existing processes and workflows? At Nautilus Labs, we seek to circumvent these issues via human-centricity.
Noon data is a lagging indicator characterized by high potential for human error due to manually observed and reported average values. Nautilus Platform collects high frequency data automatically from ship to shore with the goal of generating accurate historical, real-time, and predictive insights. Check out our infographic to see how our platform compares to standard noon reports.
Understanding ship location and route is fundamental to successful maritime operations. Defective GPS data can negatively impact maritime decision-making. At Nautilus Labs, we want our clients to trust all the data displayed and have confidence in the insights our platform provides. We implement proprietary techniques like Dead Reckoning on behalf of our clients to detect, measure, and, if possible, correct for this kind of systematic error.
Nautilus Labs attended this year’s SMM in Hamburg, the international trade fair for Shipbuilding, Machinery and Marine technology. The conference welcomed over 50,000 visitors from more than 120 countries. 2,289 exhibitors from 169 nations covered 13 halls and a total of 93,000 sq.m (1,001,044 sq.ft) demonstrating their products and services.
More and more sources have reported on contaminated bunker recently. Nautilus Labs built a platform that enables owner-operators to monitor main engine performance in real-time. Nautilus Platform shows automated SFOC and consumption data 24/7 and helps you to avoid the worst bad bunker events which means the vessel would ultimately stop unplanned in the middle of the ocean.
Nautilus Labs is driving significant fuel efficiency in the maritime industry. Leveraging vessel-specific machine learning algorithms based on high frequency data, Nautilus Platform outputs a more accurate and efficient dynamic speed instruction that incorporates actual real-time vessel speed and consumptions patterns, forecasted weather, and opportunity cost of vessel re-marketing (among other factors).