Alvys, a company that builds transportation management system (TMS) software for freight carriers and brokers, announced in a press release on August 17 that it has launched Alvys Foundry, an agentic AI platform built directly into the software freight companies already use to run dispatch, tracking, and accounting. The distinction Alvys is drawing matters to its customers: rather than connecting a separate, outside AI tool to a company’s operational data, Foundry runs inside the existing system, an approach the company frames as a response to security and reliability concerns that come with handing sensitive freight, customer, and financial data to a third-party layer.
What Actually Launched
Foundry gives customers three ways to get an AI agent running: build one from scratch on the platform, use one of more than 20 pre-built templates covering common freight workflows, or have Alvys’ own engineers build and tune a custom agent for a specific operation. Early use cases named in the release include check-call automation (following up on shipment status), invoice and settlement preparation, track-and-trace exceptions, detention tracking, and document intake. That range spans some of the more repetitive administrative work in freight operations, tasks dispatchers and back-office staff currently handle manually, one shipment or one document at a time, rather than the higher-judgment decisions Alvys says it intends to keep with human staff. Alvys also announced that its core TMS platform is now accessible to fleets of all sizes, extending a product historically built for larger trucking companies down to owner-operators and smaller carriers, a customer segment that often lacks the technical staff to evaluate or manage a separate AI tool on its own.
What ‘Agentic AI’ Means Here
Agentic AI refers to systems that can independently carry out multi-step tasks, checking a shipment’s status and updating records, for example, rather than simply answering a question or generating text in response to a single prompt. A transportation management system is the software backbone freight companies use to coordinate loads, drivers, paperwork, and billing; adding agents directly into that system means the AI has access to the same lane history, customer rules, and documents a human dispatcher would use, without requiring that data to be exported to a separate AI product first. That access is also precisely what makes the security question central to how a platform like this gets evaluated: an agent that can act on shipment and billing data needs guardrails proportional to how much damage a mistake, or a compromised account, could actually do.
Why ‘Built In’ vs. ‘Bolted On’ Is the Actual Pitch
Alvys says Foundry sits on top of its existing infrastructure, more than 120 integrations and native electronic data interchange (EDI) connections to hundreds of shippers, along with what the company describes as a SOC 2-compliant security foundation, an independent auditing standard commonly used to verify a company’s data security controls. The company also says it maintains agreements with its AI model providers specifying that customer data isn’t used to train those providers’ public models. These are claims Alvys makes about its own infrastructure and contracts; this article did not independently verify the company’s SOC 2 status or the specific terms of its model-provider agreements.
Alvys CEO Nick Darman characterized most competing AI tools in logistics as vendor-controlled, saying customers of other providers “stay dependent on the vendor for every change that follows.” That’s Alvys’ own competitive framing of unnamed competitors, not an independently verified comparison, though it reflects a real and recognizable complaint about vendor lock-in that shows up across enterprise software generally, not just freight technology specifically.
Governance and Cost Controls
Foundry includes a feature called Agent Shield, which the company says logs agent activity, keeps actions traceable, and routes higher-impact decisions to a human for approval rather than letting an agent act fully autonomously. The platform also includes what Alvys calls an intelligent model picker, which automatically selects a cost-efficient large language model for each task rather than routing every request through the most expensive available model, a detail aimed at controlling compute costs as a customer’s AI usage scales up.
The Funding and Rollout Context
Foundry builds on plans Alvys outlined when it raised a $40 million Series B round in September 2025, led by RTP Global, specifically earmarked for AI development. Alvys, founded in 2020, says its platform moves more than $7 billion in freight annually and that the company has raised $77 million in total funding to date; it remains privately held, so no ticker or stock disclosure applies here. Foundry was first shown to customers at Alvys’ Customer Advisory Board meeting on June 17, and the release says its initial customer cohort filled quickly; a waitlist for a second cohort is now open, though the release doesn’t specify how many customers are in either group, how many total Alvys customers exist across its platform, or what adoption looks like once a customer moves past the initial pre-built template stage into a fully custom agent.
Sources
Introducing Alvys Foundry: Customizable AI Agents Built Natively into TMS, PRNewswire, August 17, 2026.
Editorial Disclosure
This article is based on a press release issued by Alvys on August 17, 2026, distributed via PRNewswire. Alvys is a privately held company; no securities are discussed in this article and no ticker or exchange applies. Next Gen Tech Stocks was not compensated for this coverage. Claims regarding Alvys’ security certifications, data-handling agreements with AI model providers, and characterizations of competing AI products in the logistics industry originate from Alvys and have not been independently verified. No specific performance, efficiency, or adoption metrics were disclosed in the source release beyond general company funding and freight-volume figures. This article is for informational and educational purposes only. See our full Disclaimer.
