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DeepSea Technologies

Provides AI-driven vessel optimization solutions for the maritime industry, including dynamic route planning, autonomous engine RPM control, and real-time machinery monitoring. By leveraging 700 years of high-frequency sailing data, the platform reduces fuel consumption by at least 10%, lowers emissions, and improves operational efficiency through precise performance modeling and predictive analytics.

Athens, GreeceFounded 20179510K+ followers
Updated 20 months ago

Funding

$5.9M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.

ET
Funding rounds are not available yet.

Founders

Product

Problem

The maritime industry faces increasing pressure to reduce fuel consumption and emissions while maintaining operational efficiency. Traditional methods of voyage planning and vessel operation often rely on static models and infrequent data, leading to suboptimal performance and increased environmental impact. Monitoring vessel performance and machinery health in real-time is challenging, hindering proactive maintenance and efficient resource allocation.

Solution

DeepSea Technologies offers a suite of AI-powered solutions designed to optimize vessel performance and reduce fuel consumption. The platform leverages high-frequency sailing data to create dynamic route plans that account for weather conditions, vessel performance profiles, and TCE (Time Charter Equivalent) considerations. By implementing autonomous engine RPM control, the system ensures optimal speed is maintained throughout the voyage. Real-time machinery monitoring and AI-driven digital twins provide insights into vessel health, enabling proactive maintenance and efficient resource management.

Target Audience

The primary target audience includes shipping companies, fleet operators, and maritime professionals seeking to reduce fuel costs, lower emissions, improve CII ratings, and optimize overall vessel performance.

Features

  • AI-powered voyage planning (PYTHIA) dynamically calculates optimal speeds, routes, and ETAs.
  • AI-powered vessel optimization (CASSANDRA) maintains AI digital twins of vessels for all-weather fuel consumption prediction, fouling, and CII tracking.
  • AI-powered speed control (HYPERPILOT) automates RPM adjustments to maintain optimal speed plans.
  • NEURO hardware facilitates data collection from vessels, making it seamlessly available on the cloud.
  • Endorsed by ClassNK and DNV approved hardware.
  • Real-time machinery monitoring for proactive maintenance.
  • Integration with existing vessel systems through easily installable hardware.
This profile is AI-generated and may contain inaccuracies.