Freight brokerage has always moved fast on the outside. Loads need to be booked, carriers need updates, customers want answers, and payments have to be handled without delay. But behind that fast-moving surface, many logistics teams still deal with a slower reality: inboxes full of documents, scattered spreadsheets, disconnected transportation systems, and back-office teams repeating the same manual steps every day.
That is the kind of problem Matthieu Berger is working on through Mentium. As co-founder and CTO, Berger is helping build an AI platform designed for freight brokerages and logistics companies that need more than another dashboard. Mentium’s focus is practical. It gives companies AI-powered digital workers that can handle routine operational work across the tools they already use.
The idea is not to replace the people who understand freight. It is to remove the repetitive work that slows them down, creates errors, and makes growth harder. For brokerages working with thin margins and constant pressure, that difference can matter.
Who is Matthieu Berger
Matthieu Berger is the co-founder and CTO of Mentium, an Austin-based AI startup focused on logistics automation. His role is deeply technical, but the work itself is tied to a very human business problem. Freight teams do not just need smarter software. They need systems that can understand messy workflows, connect fragmented data, and complete tasks without forcing people to rebuild their entire operation.
Berger’s background helps explain why Mentium is taking this direction. He has worked across AI, software infrastructure, and integrations, including experience with AI systems and platforms that connect different tools together. That matters in freight, where no two companies run exactly the same way. A brokerage may rely on a TMS, an ERP, email, PDFs, phone calls, SMS, Slack, Teams, WhatsApp, and spreadsheets all at once.
Building for that kind of environment requires more than a clean interface. It needs AI that can fit into existing workflows, follow company-specific rules, and work across systems that were never designed to speak the same language.
What Mentium is building for freight brokerages
Mentium is building AI digital workers for freight brokerages and logistics teams. In simple terms, these digital workers are AI agents that can perform operational tasks that usually require manual follow-up, data entry, document checking, or communication across different channels.
For a freight brokerage, that can include work such as carrier sales, track and trace, collections, accounts payable, invoice processing, order entry, payment audits, and customer or driver communication. Instead of asking teams to switch to a brand-new platform, Mentium is built around the idea of integrating into the systems companies already use.
That is an important part of the company’s positioning. Freight teams are often too busy to pause operations for a long software rollout. If an AI product creates more setup work than it removes, adoption becomes difficult. Mentium’s promise is to deploy AI agents that work inside the existing flow of the business, helping teams move faster without forcing them to change every habit at once.
This is why the phrase “digital workers” fits the company’s mission. Mentium is not just analyzing data or giving suggestions. Its AI agents are designed to take action, follow up, process information, and reduce the number of repetitive tasks sitting on a human team’s plate.
Why freight brokerages need digital workers
Freight brokerages operate in a world where small delays can create bigger problems. A missing document can hold up payment. A late update can frustrate a customer. A manual entry mistake can create disputes. A slow back-office process can turn into revenue leakage.
Many of these problems are not caused by a lack of effort. They happen because freight operations are fragmented by nature. Brokers deal with customers, carriers, drivers, factoring companies, accounting teams, and internal operations staff. Each group may send information in a different format. Some updates arrive by email. Others come through phone calls, text messages, portals, spreadsheets, or transportation management systems.
This is where digital workers can become useful. AI agents can help sort through messages, extract details from documents, compare information across systems, and trigger the next step in a workflow. They can also help teams keep up with repetitive communication, such as tracking loads, following up on collections, or checking carrier-related details.
For brokerages, the value is not only speed. It is consistency. A human team can get overloaded during busy periods. An AI worker can keep running through the same process, following rules and reducing the chance that routine work falls through the cracks.
How Matthieu Berger’s technical vision shapes Mentium
As CTO, Matthieu Berger plays a central role in shaping how Mentium turns this idea into a real product. The company’s larger vision is not limited to automating one task. Mentium wants to become a deeper operating layer for logistics businesses, connecting their tools, organizing their data, and giving them a place to deploy automation across different parts of the company.
That vision matters because many logistics companies do not have one clean source of truth. Data can live across a TMS, ERP, inbox, accounting tool, shared drive, and messaging apps. When teams need answers, they often have to jump between systems or rely on someone who remembers how a specific customer or carrier process works.
Mentium’s approach is to bring those pieces closer together. Once the system is connected to a company’s workflows, its AI agents can understand context, act on information, and support more than one department. That makes the platform more valuable over time. A brokerage might begin with accounts payable or tracking, then expand into other workflows as the AI learns the business rules and operational patterns.
This is the kind of technical challenge that fits Berger’s role. It is not just about building a chatbot for logistics. It is about building reliable automation in an industry where accuracy, timing, and trust are essential.
Mentium’s approach to AI agents
Mentium’s AI agents are built to work like digital co-workers inside logistics operations. They can call, text, email, read documents, process information, and interact with systems that freight teams already depend on.
That makes the product different from a simple workflow tool. Traditional automation often works best when every input is structured and predictable. Freight is rarely that clean. A bill of lading may arrive as a PDF. A carrier may send an update by text. A customer may change instructions in an email thread. A payment issue may depend on several documents and a specific customer rule.
AI agents are useful in this setting because they can handle more flexible, language-heavy work. They can read, classify, compare, summarize, and act. For example, a digital worker could help process an invoice by checking related documents, matching payment details, flagging missing information, and routing the issue to the right person when needed.
Mentium’s broader use cases can include carrier payments, invoice processing, bill of lading handling, fraud prevention, load booking, rate negotiation, reporting, collections, and track and trace. Each of these areas has a common problem: too much time is spent moving information from one place to another.
Why accounts payable is a smart starting point
Accounts payable is a strong entry point for Mentium because it sits close to some of the most painful parts of freight brokerage operations. Carrier payments involve documents, approvals, exceptions, reconciliation, and timing. When this process is slow or messy, it can affect carrier relationships and create internal pressure for accounting and operations teams.
Manual accounts payable work also creates room for duplicate entries, missing paperwork, incorrect payment amounts, and delayed approvals. These mistakes may seem small on their own, but across many loads, they can become expensive and distracting.
By focusing on this area, Mentium can show value in a workflow that brokerages already understand. If an AI digital worker can reduce manual invoice handling, catch errors earlier, and help payments move with fewer bottlenecks, the business impact becomes easier to see.
It also gives Mentium a practical path into the wider logistics operation. Once a company trusts AI agents with one high-volume workflow, it becomes more realistic to expand into tracking, collections, order entry, quoting, and other repetitive tasks.
The funding milestone behind Mentium’s growth
Mentium’s seed funding has helped bring more attention to its work in freight technology. The company raised $3.2 million in a seed round led by Lerer Hippeau, with participation from investors including Matchstick Ventures, Tower Research Capital, Antler, MBA Ventures, and others.
For a young company, this kind of funding is more than a headline. It gives Mentium room to build its engineering team, improve the platform, expand go-to-market efforts, and support larger logistics customers that need reliability, compliance, and strong integrations.
The investor interest also says something about the market. Logistics has long been full of manual processes, but many companies are now more open to AI because they can see where it fits. Freight teams do not need abstract AI promises. They need help with specific daily work that takes too much time and creates too many errors.
That is where Mentium’s timing becomes important. The company is entering the market at a moment when AI agents are becoming more capable, while freight brokerages are looking for ways to scale without simply adding more back-office headcount.
How Mentium fits into the future of freight technology
Freight technology has gone through several waves. First came tools that helped digitize records and organize workflows. Then came platforms for visibility, pricing, communication, and transportation management. Now the next shift is moving toward AI systems that can actually do the work, not just display it.
Mentium fits into that new wave. Its digital workers are built for a market where operations teams are under pressure to move faster while keeping costs under control. For many brokerages, the goal is not to become fully automated overnight. It is to automate the repetitive parts of the job so people can spend more time on relationships, exceptions, strategy, and customer service.
This is especially relevant in freight brokerage, where relationships still matter. Brokers need trust with carriers and customers. AI cannot replace that human judgment, but it can remove a lot of the repetitive work around it. If a team spends less time chasing routine updates or re-entering invoice data, it has more time to focus on service and growth.
That balance is one of the reasons Mentium’s approach feels practical. The company is not presenting AI as a flashy add-on. It is putting AI inside the operational layer where freight teams already feel the most friction.
What makes Mentium different
Mentium’s strongest angle is that it is built around real logistics workflows instead of generic automation. Freight brokerages do not operate like ordinary office teams. Their work depends on timing, documents, communication, payments, and constant coordination between multiple parties.
A generic AI assistant may help summarize an email or draft a response, but that is not enough for freight operations. A useful digital worker needs to know what to check, where to find the information, which system to update, when to escalate, and how to follow the rules of a specific brokerage.
Mentium is aiming for that deeper layer. It connects with tools such as TMS, ERP, email, SMS, phone, and team messaging apps. It is designed to work across different workflows and adapt to the way each company operates. That makes it more valuable than a single-purpose tool because it can become part of the daily rhythm of the business.
The company’s focus on fragmented data is also important. In logistics, the answer to one question may be spread across five places. Mentium’s AI workers can help bring those pieces together, creating a cleaner operational view and reducing the need for people to manually chase information.
Matthieu Berger’s success story with Mentium
Matthieu Berger’s success with Mentium is not just about building an AI startup. It is about applying technical depth to a market that has real operational pain. Freight brokerages are not looking for AI because it sounds modern. They are looking for better ways to handle work that has become too manual, too scattered, and too expensive to scale the old way.
Berger’s role as CTO puts him at the center of that challenge. He is helping design a platform that has to be flexible enough for messy logistics workflows, reliable enough for business-critical tasks, and simple enough for teams to adopt without major disruption.
That combination is difficult to build. It requires understanding AI, integrations, data infrastructure, and the day-to-day reality of freight operations. It also requires knowing that the best technology in this market is not always the loudest. It is often the tool that quietly removes friction from the work people already do.
Mentium’s growth shows how much room there is for practical AI inside logistics. Digital workers can help brokerages process documents faster, manage carrier payments, track loads, handle collections, and reduce back-office pressure. For teams that deal with constant coordination and thin margins, that can change the way the business runs.
Through Mentium, Matthieu Berger is helping bring that shift closer to freight brokerages. The company’s work points toward a future where logistics teams do not have to choose between growing and drowning in manual work. They can use AI agents as part of the operating system of the business, giving people more time to focus on decisions, relationships, and results.