Logistics platform connecting 35,000+ trucks across U.S. ports and markets
Cargomatic operates a multi-modal short-haul logistics network (LTL, FTL, drayage, intermodal, final-mile) backed by a tech platform built on React, Node.js, Go, and AWS. The stack reveals a data-driven operation: Kafka, Snowflake, Databricks, and dbt are in place for real-time movement tracking and analytics, while recent adoption of OpenAI, LangChain, and CrewAI signals AI-powered dispatch and pricing automation. Hiring is heavily sales-focused (11 of 25 open roles), paired with active pricing-model development and marketplace-onboarding work—indicating a shift from asset-centric to API-first logistics.
Cargomatic provides short-haul logistics services across the U.S., operating a network of 35,000+ trucks in 50 markets, including the nation's top 20 ports. The company serves importers and shippers through a unified platform covering LTL, LCL, FTL, FCL, drayage, intermodal, white-glove, final-mile, and yard management. Founded in 2013, it operates 51–200 employees from Long Beach, California. Core pain points center on operational friction (dwell time, capacity expansion, manual processes, phone/fax reliance) and sales execution (pipeline health, forecasting, sales tooling).
React, Node.js, Go, AWS, MongoDB, Salesforce, NetSuite, Snowflake, Databricks, Kafka, dbt, and a modern ML stack (OpenAI, LangChain, CrewAI, LlamaIndex, Anthropic) for dispatch and pricing.
LTL, LCL, FTL, FCL, drayage, intermodal, white-glove, final-mile delivery, and storage/yard management. Operates 35,000+ trucks across 50 U.S. markets and top 20 ports.
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Cargomatic's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →
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