FreightFlows applies machine learning models to global trade data to provide actionable market intelligence. The platform enables users to track, analyze, and predict vessel behavior, port activities, and overall market performance. This data-driven approach helps traders and ship operators gain transparency and identify arbitrage opportunities.
Funding
$1.8M 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.
Founders
Product
Problem
Global trade suffers from a lack of transparency, making it difficult for traders and cargo owners to gain real-time insights into market movements, chartering, and operations. Ship owners also struggle to identify arbitrage opportunities due to limited visibility into vessel behavior and port activities.
Solution
FreightFlows provides a market intelligence platform that leverages machine learning models to analyze vessel behavior, port activities, and market performance, offering real-time insights into global trade dynamics. The platform aggregates unique data with vessel activity observations, enriches global trade insights with geospatial analysis, and scales up to predict granular vessel, voyage, and market activity across the global fleet. This enables traders and cargo owners to achieve greater transparency and optimize operations, while helping ship owners identify arbitrage opportunities. The platform also supports decarbonization efforts by tracking cargo flows.
Target Audience
The primary users are traders, cargo owners, ship owners, and operators involved in global trade.
Features
- Granular and aggregate trade data visualization
- Historical and predicted voyage tracking
- Geospatial analysis of vessel activity
- Machine learning models for predicting market trends
- Cargo flow tracking for decarbonization efforts