Staying ahead of the technology curve means strengthening your competitive advantage. That is why we give you data-driven innovation insights into the maritime industry. This time, you get to discover five hand-picked machine learning startups impacting the maritime sector.
Out of 98, the Global Startup Heat Map highlights 5 Top Machine Learning Startups impacting the Maritime Sector
The insights of this data-driven analysis are derived from the Big Data & Artificial Intelligence (AI)-powered StartUs Insights Discovery Platform, covering 2 093 000+ startups & scaleups globally. The platform gives you an exhaustive overview of emerging technologies & relevant startups within a specific field in just a few clicks.
The Global Startup Heat Map below reveals the distribution of the 98 exemplary startups & scaleups we analyzed for this research. Further, it highlights five machine learning startups that we hand-picked based on criteria such as founding year, location, funding raised, and more. You get to explore the solutions of these five startups & scaleups in this report. For insights on the other 93 machine learning solutions for maritime companies, get in touch with us.
Soshianest simplifies Shipping Rate Prediction
Founding Year: 2020
Location: Vancouver, Canada
Use this solution for Vessel Route Analysis
Soshianest is a Canadian startup that leverages machine learning to predict shipping rates based on maritime data such as crude oil demand and supply information. Its platform, Soshianest Enterprise Miner (SEM), utilizes optimization techniques, such as metaheuristic algorithms, to generate predictive models and analyze vessel routes. It then forecasts future freight rates based on the supply and demand of high-value commodities. Soshianest thus enables both suppliers and buyers using maritime shipping to better understand market trends and find competitive rates in the supply chain.
Blockshipping facilitates Container Terminal Optimization
Founding Year: 2017
Location: Kongens Lyngby, Denmark
Partner for Container Space Utilization
Blockshipping is a Danish startup that uses AI and machine learning to improve operational efficiency while handling shipping containers. Its software predicts the dwell time of containers and recommends their arrangement based on shipping dates. Otherwise, containers are stacked randomly at the terminals which cause unnecessary shuffle moves and delays in container shipping. Blockshipping ensures that containers with the highest dwell time are arranged at the base and others follow suit in a descending dwell time order. This enables container handling teams to increase throughput capacity.
Vake offers Satellite-based Ship Detection
Founding Year: 2019
Location: Oslo, Norway
Collaborate for Maritime Domain Awareness
Norwegian startup Vake develops a geospatial intelligence platform for maritime applications. It processes multispectral satellite images and classifies all vessels in them using machine learning algorithms. The platform provides coast guards and intelligence agencies with detailed insights into various maritime activities. This data allows them to tackle illegal fishing, drug smuggling, and environmental crimes, among others. Vake thus assists governmental entities to improve maritime security operations by making ship traceability more efficient.
Alpha Ori Technologies enables Ship Emission Tracking
Founding Year: 2017
Reach out for Maritime Decarbonization
Alpha Ori Technologies is a Singaporean startup that develops SMARTShip, a vessel monitoring platform. It combines AI and machine learning to track ship performance as well as features a module to optimize fuel consumption by analyzing parameters that include ship speed and weather. By optimizing fuel consumption, the platform reduces CO2 emissions and tracks them in real-time to indicate the dollar value saved through the reductions. This enables shipping companies to conduct sustainable shipping operations.
Bluepulse provides Reefer Predictive Maintenance
Founding Year: 2018
Location: Paris, France
Work with Bluepulse for Ship System Failure Prevention
French startup Bluepulse develops Reeferpulse, an on-board data analytics platform that monitors vessel equipment. The platform collects vessel data and processes it to generate automated system reports. Moreover, the energy consumption data collected from various systems on the ship enables Reeferpulse to flag any power outages or irregular activities in real-time. This functions as a key indicator to predict any system failures and recommend on-time maintenance to avoid downtimes. It allows maritime companies to ensure vessel safety through predictive maintenance and reduce failure-related costs.
Discover more Maritime Startups
Maritime startups such as the examples highlighted in this report focus on geospatial intelligence, process and asset optimization, maritime sustainability, and predictive analytics. While all of these technologies play a major role in advancing the industry, they only represent the tip of the iceberg. To explore maritime solutions in more detail, let us look into your areas of interest. For a more general overview, download one of our free Industry Innovation Reports to save your time and improve strategic decision-making.