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Bearing AI AI-Powered Insights, Driving the Green Shipping Era

Bearing AI
Contact for Pricing

Home: https://bearing.ai

Social:
  • #maritime shipping
  • #green shipping
  • #data-driven decisions
  • #emissions management
  • #Optimization
  • #fleet management

What is Bearing AI?

Bearing AI provides an all-in-one platform with industry-leading tools and optimization capabilities. It empowers maritime businesses to make data-driven decisions, enhancing both commercial and operational outcomes. The platform addresses the challenges of new environmental regulations by simulating millions of variables and offering actionable recommendations.

Bearing AI features cutting-edge technology, including Generative AI, specifically tailored for the maritime industry. This allows users to visualize and compare trade-offs, integrate seamlessly with existing data, and generate novel operating strategies. The system guarantees reliability, security, and scalability with zero implementation time and workflow changes.

Features

  • Automated Emissions Monitoring: Continuously tracks and manages emissions to ensure compliance with regulations.
  • Scenario Forecasting & Simulation: Simulates various operational scenarios to predict their impact on fuel costs, earnings, and environmental compliance.
  • Fleet-wide Optimization: Optimizes the performance of the entire fleet by considering various factors and constraints.
  • Proactive Recommendations: Provides data-driven recommendations to improve efficiency and profitability.
  • Zero Implementation Time: Easy to start with the data that clients already have without new hardware, integrations, or workflow changes.
  • CII Optimizer: Track fleet's CII with minimal integration, Identify vessels that are forecasted to fail, simulate changes.
  • Performance Analysis: Gain insight on factors that affect vessel’s performance - including fouling.

Use Cases

  • Optimizing vessel speed to balance fuel costs and environmental compliance.
  • Evaluating the impact of moving vessels to different service lines.
  • Determining the optimal timing for underwater cleaning.
  • Comparing the performance of different vessels across various deployments.
  • Recovering from schedule delays.
  • Selecting and negotiating charters with AI intelligence.
  • Capitalize on demand spikes and dips and successfully position vessels.

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