Alvys launches Foundry AI agents inside its TMS

Alvys unveiled Foundry, an embedded AI platform that lets freight carriers, brokers and hybrid operators build or deploy agents inside the company’s TMS. The rollout extends the AI strategy Alvys outlined after its 2025 funding round and is aimed at cutting manual work without adding another automation layer.

Why it matters: - Freight teams can automate repetitive work inside the TMS they already use, instead of connecting a separate AI layer to sensitive operating data. - The launch is aimed at carriers, brokers, hybrid carrier-brokers and, now, fleets of all sizes, including owner-operators and smaller carriers. - Alvys is positioning AI as a core product feature, not an add-on, as logistics operators look for automation with more control and less vendor lock-in.

What happened: - Alvys introduced Alvys Foundry, an agentic AI platform built into its transportation management system. - The platform lets freight teams deploy pre-built, custom-built or self-built AI agents inside the TMS. - The announcement follows the AI roadmap Alvys laid out after its $40 million Series B round in September 2025, led by RTP Global. - Alvys also said its TMS is now available to fleets of all sizes. - The company first previewed Foundry at its June 17 Customer Advisory Board meeting. - The second Foundry cohort waitlist is now open at More information.

The details: - Foundry includes more than 20 pre-built agent templates for common freight workflows. - Customers can build their own agents on the platform. - Alvys engineers can also build and tune custom agents for customers that do not have in-house engineering teams. - The platform targets detention tracking, status updates, document intake and load building. - Early use cases include check-call automation, invoice and settlement prep, and track-and-trace exceptions. - Foundry includes an intelligent model picker that selects the most cost-efficient large language model for each task. - The system is built on Alvys’ existing data infrastructure, more than 120 integrations, native EDI connections to hundreds of shippers and a SOC 2-compliant security foundation. - Alvys says customer data is not used to train public models. - Foundry includes Agent Shield, a governance layer that logs activity, keeps actions traceable and routes high-impact decisions for human approval. - The platform builds on existing AI tools in Alvys, including Insights for chat and report building, Intel for weather and load alerts, and AI-assisted load creation. - Alvys said its enterprise agreements with leading model providers support the platform’s data and model controls.

Between the lines: - Alvys is leaning into a build-with-customers model instead of a vendor-managed one. - That approach gives operators the building blocks, integrations and business logic, while keeping control in-house. - The pitch also pushes against a common logistics AI problem: more tools and more logins, but not more capacity. - By embedding Foundry inside the TMS, Alvys is trying to reduce the security and reliability risks that can come with handing operating data to a third-party agent layer. - The company is also trying to lower adoption friction by letting customers start with templates and expand as trust grows.

What's next: - Alvys says Foundry will scale in stages, starting with a single workflow and expanding after customers prove value. - The company is opening the waitlist for the next customer cohort now. - Freight teams that want to learn more can visit the company's announcement. - Alvys will continue to roll out agent use cases that reduce manual work across dispatch, tracking, documents and settlement.

The bottom line: - Alvys Foundry turns AI into a native feature of its TMS, with guardrails, governance and customer control built in from the start.