
ClearMetal
Provides international ocean freight visibility and dynamic planning using machine learning.
Date | Investors | Amount | Round |
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- | investor investor investor investor | €0.0 | round |
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investor investor investor investor investor investor | €0.0 | round | |
investor investor investor investor investor investor investor investor | €0.0 | round | |
N/A | Acquisition | ||
Total Funding | 000k |













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ClearMetal, founded in 2014 by a team of Stanford University graduate students, established itself as a significant player in the logistics technology space before its acquisition by project44 in May 2021. The company was born from academic research at Stanford, where the founding team, comprising Adam Compain, Diego Canales, and Graham Gilbert, identified critical inefficiencies and a lack of predictive data within the global shipping industry. Their collective expertise in software engineering, data science, and operations research, with professional backgrounds including time at Google, provided a strong foundation for tackling the complexities of international freight.
The firm's core offering was its proprietary platform designed to provide predictive logistics and end-to-end visibility for the international ocean freight market. This system addressed the pervasive issue of unreliable data by ingesting information from disparate sources—such as terminals, carriers, and vessel AIS data—and then cleaning and structuring it using machine learning algorithms. The primary goal was to deliver a single, reliable source of truth for shipment tracking. Its technology translated complex, often messy, shipping data into predictive and actionable insights, moving beyond simple location tracking to forecast arrivals and identify potential delays with a high degree of accuracy.
ClearMetal's business model was centered on providing its software-as-a-service (SaaS) platform to large-scale shippers and beneficial cargo owners (BCOs) who manage complex global supply chains. By offering granular, real-time visibility from door-to-door, the platform enabled these clients to manage exceptions proactively, improve operational planning, and enhance their own customers' experience. Financially, ClearMetal attracted substantial backing from a notable syndicate of venture capital firms, including Eclipse Ventures, Prelude Ventures, and Innovation Endeavors, which underscored investor confidence in its approach to digitizing a traditionally opaque sector. The acquisition by project44 integrated ClearMetal's advanced ocean visibility and predictive science capabilities into a broader, multi-modal visibility platform, marking a successful exit and the next evolutionary step for its technology.
Keywords: ocean freight, supply chain visibility, predictive logistics, data science, machine learning, freight tracking, container shipping, SaaS, logistics technology, maritime analytics