Local by design. Auditable by default.
Hosted by us or deployed in your building, the rules are the same: no public model provider sees your data, and every action an agent takes is on the record.
Nothing has to leave the building
For customers whose data cannot leave, the whole stack runs on a server in your rack. Freight rates, carrier data, documents, and driver messages never touch a public LLM provider, in either deployment.
One GPU server, on-prem
The on-prem deployment is a single machine: the web app, the warehouse, the schedulers, and the model. Inference happens in milliseconds because it happens next to the data.
Specialists, not generalists
Smaller models tuned on your own history outperform large general ones on your work, and they fit on hardware you own.
Reads everything. Writes like a person.
Sources on the left, your server in the middle, the places work lands on the right. The only thing that crosses back out is a write a person would have made.
Guardrails, by rule.
These are enforced in code and hold across every agent. They are the reason a brokerage can let software touch its TMS.
A smaller scope to audit.
When customer data never leaves your network, the questions in a SOC 2 or customer security review get shorter. We hand you the architecture, the data-flow diagram, and the write log. You hand them to your auditor.