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Generative AI You Control, Served from Europe.

Consume language models via an OpenAI-compatible API, with compute in our data centers in Spain and under EU legislation. Start with pay-as-you-go in seconds, scale to a dedicated endpoint with your own governance rules, and—unlike any automated catalog—have an engineering team by your side from model selection to production serving.

  • API ready in minutes, compatible with your current tools (OpenAI SDK, LangChain, LlamaIndex).
  • Your prompts and data never leave our cloud and are never reused. Ever.
  • Pay for actual usage: Capacity appears when you need it and disappears from the bill when you don’t.
15 min free with a cloud architect

Why it performs better and costs less

Real elasticity, not marketing.

We built the platform on open standards, without proprietary technologies that lock you in. This translates into three advantages you’ll notice in performance and on your bill:

Why Tcloud-IA?

Generative AI is no longer an experiment: it’s critical infrastructure. But adopting it often forces you to make a bad choice. Either you send your prompts—and with them, your business—to a hyperscaler outside the EU, or you set up your own inference stack and discover that serving a model in production with low latency, serious governance, and sustainable costs is an engineering problem, not a credit card issue.

Tcloud-IA is the third way: Generative AI on a European sovereign cloud, processed in our three neutral data centers in Spain and under EU legislation. You choose how much control you want—from a pay-as-you-go call to your own AI platform with custom governance rules—and the hard part is solved by a team that speaks your language and responds in your time zone.

And here’s the difference you won’t find in an automated catalog: We don’t leave you alone in front of the model list. We guide you through the three decisions that determine whether your project succeeds or burns through your budget: which model to choose, how to improve it for your domain, and how to serve it fast and affordably.

From Model to Serving, With You Every Step

Most providers sell you access to an endpoint and then leave you to it. We start where they stop.

We choose the model with you.

Almost no project needs the largest model. A well-chosen 8B model for classification or extraction can match the accuracy of a 70B model at a fraction of the cost. We help you compare open-source models (Llama, Mistral, Qwen, DeepSeek, gpt-oss families…), measure their quality with your own data, and make the right choice before spending a dime.

cloud iot

We improve it for your use case.

Fine-tuning with your datasets, augmented retrieval (RAG) over your internal sources, and continuous evaluation so the model improves over time. All within our infrastructure: Your training data never leaves our servers.

We serve it fast and efficiently.

This is where engineering makes a difference in your bill. We apply context caching, request batching, and fine-tuned scaling to squeeze the most out of every GPU. The result: The first token arrives faster, more requests are served per second, and the cost per response drops instead of skyrocketing as you grow.

The cheapest request is the one that never runs. We design your serving to make that happen as often as possible.

Three Ways to Consume AI, One Control

Choose based on how much you want to manage and how much governance you need. You can start with one and grow into another without changing providers or APIs.

GPU-enabled virtual machine

Full Control, You’re in Charge

Instances with NVIDIA L4 (24 GB) or L40s (48 GB) GPUs on demand, ready for training, fine-tuning, experimentation, or serving your own models. You decide the entire stack, with no runtime constraints.

  • For whom? Teams with engineering capabilities who want the whole machine, root access, and absolute freedom.
  • Pricing model: Per hour of actual usage, no commitment, no minimum fees.
  • Ideal for: Training and fine-tuning, POCs, mixed AI and rendering workloads, workloads you don’t want to share with anyone.
Deploy a GPU

Shared Endpoint

Pay-as-You-Go, Zero Infrastructure

An OpenAI-compatible inference API on open-source models already deployed and optimized by us. No GPU management, no startup waits: You make the call and pay per million tokens.

  • For whom? Developers and products that want to integrate AI in minutes and pay
    exactly for what they consume.
  • Pricing model: Per input and output tokens. No reserved capacity, no fixed bill.
  • Includes: Function calling, structured outputs (JSON), multimodal models, and embeddings for RAG.
  • Ideal for: Chatbots and assistants, RAG, extraction and classification, prototypes that move to production without rewriting anything.

Your data is yours. We don’t read, store, reuse, or analyze your prompts or responses. And compute happens in Spain.

View Models and Pricing

Dedicated Endpoint

Your Own AI Platform, Governed by You

This isn’t just a dedicated GPU: it’s your own private AI gateway. In addition to isolated compute capacity, you get a dedicated control instance that gives you access, via API, to advanced governance configurations that simply don’t exist in a shared service. You stop being a user of a platform and start operating your own.

What you can do that you can’t in shared:

  • Custom guardrails. Input and output filters applied at the platform level—personal data masking (PII), content moderation, prompt injection detection, and custom rules—so no application has to reimplement them, and no request escapes the framework you define.
  • Sovereign and frontier models under one roof. Govern from the same place the open-source models we host on our GPUs in Spain and, if your use case requires it, connect your own keys to external frontier models. One API, one governance layer, and one bill: Route sensitive data to the sovereign model and frontier-capable data to the provider of your choice, without touching your integration.
  • Governance and access control. Virtual keys per team or project, budgets and usage limits, allowed model lists per user, corporate single sign-on (SSO), and complete audit logs for every request.
  • Observability and cost control. End-to-end traceability, consumption by team, and budget alerts so the bill never surprises you.
  • Everything configurable via API. The above rules are defined and adjusted programmatically. Control is yours, not a black box.
  • Custom guardrails. Input and output filters applied at the platform level—personal data masking (PII), content moderation, prompt injection detection, and custom rules—so no application has to reimplement them, and no request escapes the framework you define.
  • Sovereign and frontier models under one roof. Govern from the same place the open-source models we host on our GPUs in Spain and, if your use case requires it, connect your own keys to external frontier models. One API, one governance layer, and one bill: Route sensitive data to the sovereign model and frontier-capable data to the provider of your choice, without touching your integration.
  • Governance and access control. Virtual keys per team or project, budgets and usage limits, allowed model lists per user, corporate single sign-on (SSO), and complete audit logs for every request.
  • Observability and cost control. End-to-end traceability, consumption by team, and budget alerts so the bill never surprises you.
  • Everything configurable via API. The above rules are defined and adjusted programmatically. Control is yours, not a black box.

And all of this on dedicated single-tenant compute: Your traffic never competes with anyone else’s, with guaranteed throughput and stable latency.

  • For whom? Organizations with production workloads, compliance and governance requirements, or a need for a single AI layer for the entire company.
  • Pricing model: Per capacity (GPU hour) + dedicated control instance, with auto-scaling to absorb peaks without over-provisioning.
  • The key economic point: At a certain volume, a dedicated endpoint is cheaper than pay-per-token. We calculate your break-even point before you sign anything.
  • Ideal for: Critical applications, agents in production, hybrid sovereign + frontier architectures, environments with regulatory demands.
Design My Dedicated Platform

COMPARISON TABLE

— Choose Your Level

VM con GPU Endpoint compartido Endpoint dedicado
Qué gestionas tú Todo el stack Nada, solo la llamada Tus reglas de gobierno
Aislamiento GPU dedicada Multi-tenant Single-tenant + pasarela propia
Modelo de pago Por hora de GPU Por millón de tokens Por capacidad + instancia de control
Arranque Provisionas la instancia Instantáneo Minutos
Latencia La que configures Compartida, muy buena Predecible y garantizada
Guardarraíles propios (PII, moderación…) Si los montas — Sí, configurables por API
Modelos frontera con tus claves Si los integras — Sí, bajo un mismo gobierno
Control de acceso (SSO, cuotas, auditoría) A tu cuenta Básico Completo
Modelos propios / fine-tuned Sí Catálogo gestionado Sí
API compatible con OpenAI Si lo montas Sí Sí
Mejor para Entrenar, experimentar Integrar y prototipar Producción y gobierno a escala

The prototype born on the shared endpoint moves to dedicated when volume or governance justify it, with the same API.

One entry point for all models.

Integrate a single OpenAI-compatible API, and from there, access any model. Switch models without touching your code, with intelligent routing, automatic retries on failures, and quota and cost control per team. You never depend on a single model or provider.

Each GPU goes further.

We batch requests on the fly and reuse context that repeats between calls, so the same card serves more users at once: faster first token, more requests per second, and lower cost per response.

Capacity that appears and disappears with demand.

Power is allocated when traffic arrives and removed when the load drops, even to zero if needed. You don’t pay for idle hardware; we absorb peaks without you over-provisioning and intelligently reuse idle capacity.

That’s why we can offer you honest pay-as-you-go pricing: The bill reflects the real cycles of an AI project—bursts, pauses, peaks, and sustained inference—not a reserved capacity you pay for whether you use it or not.

SOVEREIGNTY AND SECURITY

Non-Negotiable

As a European sovereign cloud provider with our own infrastructure, we offer guarantees that a global hyperscaler cannot:

Data in Spain, under EU legislation.

All compute runs in our three neutral, owned data centers in Spain. No international transfers, no third-party legal extraterritoriality.

Privacy by design.

We don’t read, store, reuse, or analyze your prompts or responses. Your business doesn’t feed anyone else.

Serious AI governance.

Guardrails, access control, and auditing integrated into the dedicated endpoint, not patched on top.

Distributed resilience.

Agreements with three data centers allow us to distribute the cloud and offer additional robustness.

  • ISO 27001
  • ISO 27017
  • ISO 27701
  • ENS

POSITIONING

Against Hyperscalers and "Self-Service" APIs

Característica Hiperescalar global API de IA self-service Tcloud-IA
Residencia del dato Global, extraterritorial Frecuentemente fuera de la UE Centros de datos propios en España
Privacidad de prompts Según ToS globales Variable No se leen ni reutilizan
Gobierno (guardrails, acceso, auditoría) Complejo, por servicios sueltos Inexistente o de caja negra Integrado y configurable por ti
Soberano + frontera bajo un techo No No Sí, con tus propias claves
Modelo de pago Reserva con permanencia Por token Por uso real, sin permanencia
Ataduras Frameworks propietarios API cerrada Estándares abiertos
Acompañamiento Tickets por zona horaria Ninguno Equipo en España, del modelo al serving
Elección y mejora del modelo A tu cuenta A tu cuenta Consultoría incluida

USE CASES

Internal assistants and copilots.

Chatbots that summarize, translate, classify, and respond based on your data, without it ever leaving Spain.

Enterprise RAG.

Augmented retrieval over your internal sources, with full data sovereignty and up-to-date responses.

Autonomous agents.

Models that execute multi-step tasks connected to your systems, with guardrails that define what they can and cannot do.

Governed hybrid architectures.

Sovereign models for sensitive data and frontier models for maximum capacity, all under a single control and audit layer.

Intelligent document processing and OCR.

Vision-language models for scanned documents and mixed content.

Large-scale classification and extraction.

High-volume scenarios where a well-chosen small model solves the problem at minimal cost.

MANAGED OPEN-SOURCE MODELS

For those who prefer to consume a ready-to-use endpoint rather than operate the model themselves, we deploy the leading open-source LLMs turnkey on our Spanish infrastructure:

Local Llama on proprietary infrastructure
More information
Local DeepSeek on sovereign cloud
More information

For more complex architectures, our consulting services (https://www.todoencloud.com/servicios-de-consultoria/) include AI platform design, model evaluation, and governance plans aligned with European regulations.

Do you have an AI project?

We advise you free of charge.

Tell us about it. We understand your situation, frankly tell you which model and option are the right fit, and set it up as if it were our own.

15 min free with a cloud architect
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