Not AI bolted onto a legacy system. Agents that originate and run the data, and a rating engine that computes rates instead of just fetching them.
A coordinated layer of AI agents does the volume, originates the data, and hands the judgment calls to people.
Thirty-two AI agents and machine-learning components run at launch, 43 across the platform. You scale by adding agents, not headcount.
Agents act when confident and escalate when they’re not. Nothing that moves money or commits freight happens unsupervised.
Our agents originate and structure the data they later act on, so context is native, not inferred from a schema built for humans.
Most platforms fetch a number from a carrier’s rate API and show it to you. We compute the rate ourselves, from the tariff. That difference shows up in two places that matter.
Parcel, LTL, full truckload, air, and international parcel and air all rate on one engine and one database. Because the workflow starts from the order, adding a mode is configuration, not reconstruction.
Import orders in batches and rate, tender, and manage them together, not one shipment at a time. Built for real order volume.
Sourcing tools compare truckload capacity and rates, spot and contract, so you choose the right truck at the right price instead of taking a single quote.
Rate the same order across modes and pick the best answer, on one engine, from one place.
Bolt-on AI reads a system it never built, so it can’t make sense of data it didn’t originate. We built the opposite: agents originate the data, run the work, and scale the operation.
The result is one permeable structure the agents move through freely, reaching any part of the workflow instantly.
Walled-off rings. Bolt-on AI is trapped between them, blocked from the data it needs.
One permeable structure the agents built. The AI sits at the center and reaches any part instantly.
We’ll walk you through the engine on real shipments, yours if you bring them.
Book a walkthrough