Datatruck Wants to Be the Operating System Trucking Runs On

A dispatcher's day is mostly friction. Somewhere a rate confirmation is sitting in an inbox waiting to be typed into a system. A broker wants a check call. A driver's proof of delivery is a photo that needs to become a line item before anyone gets paid. None of it moves a truck. All of it costs hours. Datatruck's whole argument is that those hours are not the cost of doing business - they are a software problem that has been waiting for the right tools.

Founded in 2022 and run out of Chicago, with a registered address in Irving, Texas, Datatruck builds what it calls an AI-native operating system for North American long-haul trucking. In plain terms: a single platform that handles dispatch, load management, compliance, paperwork, and the money - then layers AI agents on top that do the repetitive parts on their own. In January 2026 the company closed a $12 million Series A led by Avenue Growth Partners. It says roughly 500 carriers now run on the platform.

01 / THE PROBLEMTrucking's back office is held together with phone calls

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The trucking software most carriers use was built for a world of fax machines and manual entry. Over the years, operators bolted on extras: a load board here, a factoring portal there, a spreadsheet to reconcile it all. Each tool solved one problem and created a seam. Data got re-keyed. Numbers drifted. And the person holding it together was usually a dispatcher with a phone in each hand.

Datatruck's founders - CEO Shohruh Rahmanov, Chief AI Officer Ulugbek Ergashev, and COO Mamur Kodirov - built the platform around the parts that were quietly bleeding money. The pitch is not "a nicer dashboard." It is the removal of seams: dispatch, compliance, documents, and cash flow living in one system instead of five.

There is a reason the team fixated on the unglamorous middle of the workflow. Ergashev's background is in AI research and data engineering; the product decisions read like they came from people who had watched the same broken process play out hundreds of times. Rather than start with the flashiest feature - a routing model, say, or a demand forecast - they started with the paperwork and the phone calls, because that is where a carrier's margin actually leaks. It is a less exciting starting point and, on the evidence so far, a more defensible one.

02 / THE PRODUCTTruckGPT turns paperwork into data, instantly

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The flagship is TruckGPT, a document intelligence engine. Point it at a rate confirmation, a bill of lading (BOL), or a proof of delivery (POD) and it reads the document, extracts the fields that matter, and populates them into the system in seconds - no typing. Just as usefully, it flags discrepancies before they reach accounting or factoring, which is where a mismatched number turns into a rejected invoice or, worse, a fraud exposure.

Around TruckGPT sits a suite of agents that do work rather than just display it. The AI Dispatcher searches DAT, Truckstop, 123LoadBoard, Uber Freight, Parade and, the company says, more than 400 private boards at the same time, validates the broker, and books the load back into the TMS - then hands it to a human to approve. The AI Updater handles the routine broker and driver check-calls across a load's lifecycle. The AI Insight Analysis tracks fleet performance, lane profitability, and load margins in real time. There is no chatbot to babysit; the agents live inside the workflow.

03 / IN PRACTICEWhat a carrier can actually do with it

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Strip away the category language and the day-to-day is concrete. A one-truck owner-operator can photograph a proof of delivery on a phone, watch it become a billable line item, and send the invoice into factoring without opening a second app. A ten-truck fleet can let the AI Dispatcher surface and pre-book loads overnight, then approve the good ones over coffee instead of refreshing load boards at 5 a.m. A back-office team of two can stop chasing brokers for check calls because the AI Updater is doing it, and spend the recovered time on the exceptions that actually need a human. None of these are moonshots. They are hours, returned.

The 150-plus integrations matter here more than they sound. Carriers rarely rip out everything at once; they run Datatruck alongside the fuel cards, compliance tools, and load boards they already trust, and let the connections do the reconciling. That lowers the cost of switching - the single biggest reason operators stay on software they dislike - and it is a quieter, less headline-friendly moat than the AI agents, but arguably a stronger one.

04 / THE MONEYFactoring is a feature, not a portal

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The quiet advantage is embedded finance. Through FinTruck, factoring and financial workflows live inside the same platform that books and tracks the load, so a carrier can get paid without bouncing to a separate provider. Add automated IFTA fuel-tax reporting and real-time profitability on every load, and the software that runs operations is also the software that manages cash. For a small carrier where the owner is also the accountant, that consolidation is the point.

It also explains the business model. Datatruck sells B2B SaaS subscriptions to carriers and brokers, but the embedded fintech means its fortunes rise with freight volume moving across the platform - more than $1.7 billion of it in 2024 alone.

05 / THE CUSTOMERSmall and mid-sized carriers, switching off legacy

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Datatruck's users are the small to mid-sized North American carriers and brokers who feel the friction most, because they cannot hire their way around it. The company reports triple-digit year-over-year growth and says it has replaced hundreds of legacy and competing systems. Named customers include APL Cargo, whose president Stefan Trifan has said the platform "puts carrier profitability front and center," and Ray Cargo.

What convinced the investors was less the software and more how it was being used. Ryan Russell of Avenue Growth Partners framed it plainly: carriers were "already using its AI agents to drive real operational efficiency." That is the difference between an AI feature people try once and one they cannot stop depending on.

06 / THE MARKETAn AI-native challenger in a large, legacy category

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The transportation management system market was valued at roughly $18.5 billion in 2025 and is projected to grow sharply through the decade. Most of it still runs on incumbent software - names like McLeod - alongside a newer wave including Rose Rocket, Alvys, Turvo, Tai Software, and Truckbase. Datatruck's wedge is the phrase it keeps returning to: AI-native. Not agents bolted onto an old core, but a platform built with them from the first line of code.

The "AI-native" distinction is not just marketing posture. Retrofitting agents onto software built for manual entry tends to produce a chatbot bolted to the side - a place you go to ask questions. Building agents into the core produces the opposite: software that acts, and only surfaces to a human at the approval step. That design choice is why Datatruck can say its dispatcher books freight rather than merely suggesting loads, and it is the hardest thing for an incumbent to copy without rewriting the plumbing underneath.

Whether Datatruck becomes the operating system trucking runs on is an open question - the category is large, the incumbents are entrenched, and "AI-native" is a claim a lot of vendors are now making. But the order of operations here is the part founders can copy: real usage and $1.7 billion in freight first, a Series A second. The company raised because carriers were already leaning on it, not the other way around.