Pay for AI by usage, not by hardware.
No capital outlay and no hardware to wait for. Call a model the way you already call one, served from capacity in the region you choose, and pay per million tokens used.
Why businesses start here.
Token services let you prove the value of AI before you commit capital.
No upfront spend
Usage-based billing turns AI from a capital project into an operating cost you can start small.
Budget control
Per-key usage reports and limits show which team or application spends what.
Scale either way
Capacity follows your demand, so a pilot does not need production-sized hardware.
A path to owning
The same API runs on dedicated capacity or your own hardware later, so you do not rebuild.
Open-source models
Qwen, DeepSeek, GLM, Mistral and gpt-oss families served behind one API. Available models are confirmed per region before you sign. See models.
Familiar API
OpenAI-compatible endpoints. Change the base URL and key in your existing client library and your application keeps working.
Residency in the contract
Prompts and outputs stay in the region you choose. Your data is never used to train or improve any model.
Usage you can audit
Per-key token reports, request logs you control, and monthly invoices that reconcile to the token.
- Reserved GPUs. Fixed throughput and predictable latency.
- Best for customer-facing services and steady high volume.
- Private networking and your own model versions, pinned.
Getting started
Tell us
Share your workload, expected volume and region.
Confirm
We agree the models, limits and pricing per million tokens.
Connect
You receive your keys and endpoint address.
Switch over
Change the base URL in your existing client library.
Questions we hear first.
If yours is not here, ask us.
Which models can I use?
Open-source models from the Qwen, DeepSeek, GLM, Mistral and gpt-oss families. The exact list and versions depend on the region and are confirmed in your proposal.
Where is my data processed and stored?
In the region you choose in your contract. Prompts and outputs are not sent outside it, and logging is configured with you.
Do you train on my data?
No. Your prompts, documents and outputs are never used to train or improve any model.
Can I move to dedicated hardware later?
Yes. Many clients start on shared capacity, then move to dedicated GPUs or their own systems as volume grows. The API stays the same.
How do I get started?
Send us your workload and region through the contact page. We confirm model availability and agree a plan and pricing for your volume.
Tell us the workload and the region.
We confirm available models and send indicative pricing per million tokens.