Shohruh Rahmanov and the money hiding in plain sight

Fifteen thousand dollars is an awkward amount of money to overlook. Too much to dismiss as rounding. Too little to require a cinematic heist. Shohruh Rahmanov says he found it in insurance and expense overpayments while developing a financial automation model for trucking companies. The culprit, in his telling, was the ordinary difficulty of making the accounts agree.

Rahmanov had been working as a fractional chief financial officer, doing financial work for carriers that needed the expertise without a full-time appointment. He knew the habitat: Excel files, manual checks, information that belonged together but lived apart. His response was to build a model that could do some of the checking for him. Then it caught the overpayment.

The incident helps explain the Chicago-based entrepreneur behind Datatruck. There is considerable excitement around artificial intelligence in freight. Rahmanov arrives at it carrying an accountant’s question: where did the money go? A truck can reach its destination, the customer can receive the freight, and the financial explanation can still be somewhere down the road.

Before the spreadsheets, a stopwatch

Long before he was reconciling trucking expenses, Rahmanov was competing at remembering things. His name appears in international memory results from 2010 and 2011. These are wonderfully literal competitions. Numbers must remain numbers. The order of a deck matters. An appealing approximation is still wrong.

At the 2011 Swedish Open Memory Championship, he recorded 240 digits in the fifteen-minute numbers discipline. A historical World Memory Championships record pack lists further Uzbekistan marks under his name, including 120 digits in five minutes and a speed-cards result of 113.96 seconds. Those are historical results, fixed to their events and dates.

For most people, a shuffled deck is a modest leisure accessory. For a memory competitor, it becomes an examination paper with fifty-two movable questions. The pleasure of the exercise lies partly in its precision. You know whether the information survived. There is remarkably little room for an impressive-sounding explanation.

He also wrote about learning. The 2015 book So‘z yodlash sirlari, co-authored with Iskandar Sattibaev, addresses vocabulary memorization for English learners. It offers techniques, exercises and examples. His professional profile lists another book, Mukammal Xotira, published in 2014. Before software customers, there were readers trying to make unfamiliar information stay put.

There is a temptation to make memory sport a grand explanation for everything that followed. A career deserves more breathing room. Still, the books and competition results establish an early interest that a conventional executive biography would probably discard. This finance professional had already spent time making information into something people could use.

The accountant crosses the Atlantic

His working life supplied a different test of precision. Rahmanov’s career includes assurance work at PwC, a role at Uzbekistan’s National Agency of Project Management and senior financial analysis at SFI Management Group. Auditing asks for evidence. Analysis asks what the evidence means. Both are useful preparation for meeting a business whose activity is easier to observe than its profitability.

In 2021, a Fulbright scholarship took him to the University of Rochester’s Simon Business School for an MBA. His studies ran through 2023. During that period, his work history includes the Simon School Venture Capital Fund, the Meliora Fund and a summer associate internship at Compass Digital Acquisition Corp. He was learning about businesses from several sides of the table.

His interests were already broader than a single career track. A March 2021 conversation with Bek Olimjon covered memory, books, business-school funding and finance. When he shared it, Rahmanov also mentioned accounting qualifications, international reporting standards and the transformation of state-owned enterprises. His idea of a leisurely conversation evidently allowed room for IFRS.

Under that podcast post, a commenter asked whether he had remembered whom to credit for his achievements. Rahmanov replied that he had forgotten to mention his parents. It is a nicely placed joke from someone who had written about memory. Even a specialist can leave an important acknowledgment outside the frame.

“Feedback is more valuable than ego.”

Shohruh Rahmanov, on early customers

The first hundred are people

Datatruck was founded in 2022. Its leadership brings together Rahmanov as CEO, Mamur Kodirov in operations, Aziz Ergashev in technology and Ulugbek Ergashev in artificial intelligence. The different responsibilities matter to the story: understanding a financial problem and building a system people can operate are substantial, separate jobs.

Rahmanov recalls an early friend investing $200,000 around the team’s tenth investor pitch, before a minimum viable product existed. The team then talked with trucking owners, dispatchers and drivers and tested a simple initial product. His account gives the beginnings a useful human scale: a friend willing to back an idea, followed by people willing to explain their working day.

He describes reaching the first hundred customers as difficult. The company put effort into education and usability. A spreadsheet has an advantage that software sellers sometimes underestimate: its owner already knows where everything is. Asking someone to change systems means asking them to learn while the existing business keeps moving.

That makes his advice about treating early users as co-creators practical. A dispatcher's objection may expose a gap in the workflow. A bookkeeper’s question may reveal a definition the engineers thought was obvious. The product has to survive those encounters. Being right in a presentation is a rather inexpensive form of being right.

A load has a financial life

The work Rahmanov describes is easiest to understand by following a load. There is an agreement about price. There are documents recording the shipment and its delivery. There are costs, invoices and payments. Each piece can be present while the overall picture remains incomplete. The task is connecting them reliably enough to make a decision.

Datatruck combines dispatch, load management, financial workflows and communication. Its AI tools handle particular steps: TruckGPT processes freight documents, AI Dispatcher works with load searches and booking, and AI Updater handles routine communications. Fintruck addresses the accounting side. The names are lively; the underlying jobs are reassuringly specific.

For Rahmanov, financial visibility belongs close to the operation itself. Waiting for the end of a reporting period delays the moment when a carrier can judge its choices. A report becomes more useful when the person making the next decision can consult it. That is the practical appeal of putting operational and financial information in the same system.

There are limits to what a neat diagram can convey. Documents have exceptions. People need to check things. Businesses use different definitions and existing tools. The company’s emphasis on integrations and migrations acknowledges that adoption involves carrying an operating business across, including its accumulated records. The new system has to accommodate yesterday before it can improve tomorrow.

Twelve million dollars, same question

In December 2024, Rahmanov announced that Datatruck had reached $1 million in annual recurring revenue after twenty months and had become profitable. He thanked customers, the team and partners. Then he described priorities that sounded like the original problem in greater detail: reconciliation, financial management, AI automation and a clearer account of operating costs.

Annual recurring revenue is a measure of recurring business, distinct from money raised from investors. In January 2026 came the latter milestone: Datatruck announced a $12 million Series A led by Avenue Growth Partners. For a founder trained in finance, keeping those two numbers in their proper columns seems the least a profile can do.

The company earmarked the funding for deeper AI capabilities, more integrations, product development and additional support. These are connected commitments. Automating another task can make the product more useful; helping a carrier switch successfully determines whether it gets used. A funding announcement can be made in a day. The promised improvements arrive through rather more customer calls.

He has continued explaining the work in public. In August 2025, Datatruck shared his appearance on USAKG TV, discussing data analytics, operating costs and AI in trucking. The subjects sit close to the problems he described at the beginning. Customers need to understand what a tool changes in their business, particularly when the product asks them to trust an automated process with information they used to handle themselves.

Rahmanov’s stated ambition is a financial operating system for North American trucking companies. It is a large undertaking with an unglamorous daily test. Can an owner understand the costs? Can a dispatcher finish the task? Can the accounts explain what the fleet has actually earned?

His path offers several versions of the same satisfaction: a remembered number, a word that stays learned, an account that reconciles. They are different activities, and none guarantees success at the next. But they make this founder’s interest in trucking paperwork less surprising. Somewhere inside the ordinary records of an ordinary trip is an answer somebody needs. Rahmanov has made a business of helping them find it.