New updates have been reported about Datatruck.
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Datatruck has secured a $12 million Series A round led by Avenue Growth Partners, capital that will be used to deepen its AI capabilities and extend its lead as long-haul carriers replace legacy transportation management systems. The Chicago-based company operates an AI-native operating system built specifically for North American long-haul trucking carriers, serving as the core system of record for dispatch, load management, and compliance while embedding AI agents and financial workflows into daily operations. With more than 150 integrations across dispatch, fuel cards, factoring, and compliance tools, Datatruck positions itself as a unified platform aimed at improving operational efficiency, control at scale, and decision quality for carriers that have outgrown fragmented point solutions.
A key strategic differentiator for Datatruck is its embedded financial management stack, which includes real-time profitability tracking at the unit level, automated IFTA reporting, and integrated factoring through its FinTruck offering, giving carriers visibility and control that older systems struggle to provide. Management reports that hundreds of legacy and competitive TMS platforms have already been displaced by Datatruck as carriers seek to reconcile financial data more accurately, reduce revenue leakage, and protect margins. CEO and Co-Founder Shah Rahmanov frames the product as an end-to-end operating system rather than another point tool, an approach validated by customer testimonials citing improved profitability and scalability. Avenue’s investment thesis centers on Datatruck’s demonstrated customer adoption and practical use of AI agents to drive measurable operational efficiency, not experimentation. The company, which currently serves roughly 500 carriers across the United States, plans to use the new funding to expand product and customer-facing teams and accelerate market penetration across the North American long-haul segment, positioning itself to capture further share as the industry migrates off legacy TMS infrastructure.

