AllocateShip AI to your clients,
on infrastructure you can resell.
Build client-facing agents and fine-tuned models under your own brand, with per-client isolation, per-client metering, and margins you control.
White-label agents
Deploy support, intake, and reporting agents per client, each in its own isolated environment.
Per-client metering
Every token metered per client and per agent, so billing your clients is an export, not a spreadsheet.
Fine-tunes as a service
Train open-weight models on each client’s data; the client keeps the weights, you keep the relationship.
One console running many isolated client environments, with spend visible per client, per agent, live.
Models teams route here.
Start on frontier, fine-tune the open ones on your own data.
Common questions
How does per-client isolation work?
Each client gets its own environment: its own boundary, its own metering, its own agents. A client’s data and any model trained on it never mix with another client’s.
Can we bill clients from the platform’s numbers?
Yes. Every token is metered per client and per agent, so client billing is an export of real usage rather than a spreadsheet reconstruction. Your margin on top is your business.
Who owns a model fine-tuned on a client’s data?
The client owns the weights; you own the relationship and the build. That split is contractual and technical: the weights live in the client’s boundary and export with them.
Do we have to resell a fixed stack?
No. Routes let you pick models per client and per workload from the full catalog, and swap them without touching client code.