The dedicated endpoint isn’t just a GPU with your name on it: it’s your own private AI gateway. Isolated compute just for you, plus a control instance you govern via API—guardrails, access policies, auditing, and even the use of frontier models with your own keys. All your AI, under one sovereign roof in Spain.
A shared endpoint solves integration, but in production and in a serious organization, questions arise that a pay-per-token API cannot answer: How do I prevent a model from leaking personal data? Who can use which model and with what budget? How do I audit every request? How do I combine sovereign models with a frontier model without losing control?
The dedicated endpoint answers all of these because it gives you the platform, not just the model.
Input and output filters applied at the platform level: personal data masking (PII), content moderation, prompt injection detection, and custom rules. No application has to reimplement them, and no request escapes the framework you define.
Govern from the same gateway the open-source models we host on our GPUs in Spain, and, when your use case demands it, connect your own keys to external frontier models. One API, one access policy, one bill: Route sensitive data to sovereign models and high-capacity demands to the provider of your choice, without changing your integration.
Virtual keys per team or project, budgets and usage limits, allowed model lists per user, and corporate single sign-on (SSO).
Logging of every request for compliance, traceability, and forensic analysis.
Consumption by team, budget alerts, and end-to-end traceability to ensure the bill never surprises you.
Each rule is defined and adjusted programmatically. Control is yours, not a black box.
On single-tenancy compute: your traffic never competes with anyone else’s.
Below a certain volume, pay-per-token is the most efficient. Above that, a dedicated endpoint is cheaper and also gives you the governance that a shared endpoint cannot. The break-even point depends on your actual traffic: We calculate it with you before you sign anything, with no surprises.
Pricing model: Per capacity (GPU hour) + dedicated control instance. Indicative price: [€ …].
Governed corporate AI. A single AI layer for the entire company, with access and budget policies per team.
Agents in production. Guardrails that define what models connected to your systems can and cannot do.
Governed corporate AI. A single AI layer for the entire company, with access and budget policies per team.
Regulated sectors. Healthcare, banking, public sector, and legal, where data residency and traceability are not optional.
We design the platform with you: choosing models, defining guardrail and access policies, planning the serving strategy with caching to optimize cost and latency, and aligning governance with European regulations. Engineering and consulting, not just a ticket in a queue.
The shared endpoint is a pay-per-token API you consume. The dedicated endpoint is a platform you operate: isolated compute + your own gateway with guardrails, access control, auditing, and the ability to govern frontier models with your keys.
Security rules automatically applied to every request and response: masking personal data, content moderation, blocking prompt injection attempts, or enforcing your policies. You configure them via API, and they are applied at the platform level.
Yes. Connect your own keys from external providers and govern them from the same gateway as your sovereign models: one API, one policy, one bill.
Yes, single-tenancy: compute dedicated to you, on a private network, with guaranteed throughput.
In our owned data centers in Spain, under EU legislation, with ISO 27001, 27017, 27701, and ENS certifications.
From a certain sustained volume, or as soon as you need your own governance and guaranteed latency. We calculate your break-even point with your real numbers.
Yes. You keep the same integration as with the shared endpoint; you just gain control.
Let’s design together the platform your organization needs.
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