AI servers
Design of inference servers for internal use or for your clients, sized to your real workload.
AI infrastructure
We help businesses design, deploy and maintain AI infrastructure that is ready to do real work: inference servers, local models and agents that automate processes with privacy and control.
How an agent thinks
Our agents are not chatbots: they run in a continuous cycle, connected to your data and tools, with permissions and memory.
What we do
We structure the solution from start to finish so it fits your business, your team and your internal processes.
Design of inference servers for internal use or for your clients, sized to your real workload.
From a VPS or the server you already have to kit like NVIDIA DGX Spark or Mac Mini clusters: we choose based on your goal and budget, without forcing you to buy expensive hardware.
We install LLMs and open source models in your own environment: total privacy, low latency and predictable costs.
We deploy agents that query data, run tasks, write code and automate practically any workflow, with memory, permissions and cron jobs.
We connect the AI with your existing CRM, email, databases, forms, APIs and internal tools.
We fine-tune resources, memory, storage and performance, with documentation and a scalable base to grow without chaos.
Bespoke
Not every business needs the same infrastructure. Some projects require kit built for intensive workloads, while others work better with compact, efficient and well-integrated solutions.
We analyse your case, define the architecture and leave the foundation ready to run with stability: from a dedicated server for local models to a distributed environment for internal assistants, automations or customer service, sales and operations processes.
Real hardware
We work with the configuration that best fits each case. There is no need to buy expensive hardware: often a VPS or the company’s own computer or server is enough. And when the project calls for it, we set up high-performance solutions such as NVIDIA DGX Spark or well-optimised Mac Mini networks.
The point is not to buy hardware to follow a trend, but to build a solution that responds to specific needs and the available budget: speed, privacy, availability and ease of maintenance, on whatever infrastructure makes the most sense for you.
Agents
One of our most powerful services is the creation and structuring of agents with OpenClaw. We design agents that query information, run tasks, coordinate tools, respond to events and help the team in their day-to-day work.
But they do not stop there: they also write and run code, automate complex workflows from start to finish and take care of practically any task you define. We structure the memory, permissions, workflows, cron jobs and operational logic so these agents are useful, maintainable and secure, not flashy demos that nobody ends up using.
I want an AI agentUse cases
For sales, support or management teams: they answer questions about your own data instantly.
Email sorting, report generation, follow-up and administrative tasks with no manual intervention.
Linked to databases, CRM, WordPress or business tools to act, not just chat.
Local systems (RAG) to generate, analyse, classify and search within your internal documentation.
Sensitive data that never leaves your infrastructure, ideal for regulated sectors.
Environments ready to test ideas quickly and scale them to production once they work.
How we work
We look for solutions that are useful, sustainable and well organised, with technical judgement and a practical business view.
We review your current data, processes and systems. We identify which tasks can be automated with AI and where the bottleneck is.
We define the stack and choose the hardware: from a VPS or your own server to DGX Spark or a Mac Mini cluster, depending on workload and budget.
We install the local models and set up the OpenClaw agents with memory, permissions and cron jobs. We connect the AI to your CRM and tools.
We document the solution and train your team so they can run it independently, without depending on anyone.
FAQ
It is the set of servers, models and agents that let you run artificial intelligence inside your business. Setting it up properly brings privacy (your data never leaves), speed (low latency), cost control compared with external APIs and the ability to automate processes to measure.
It depends on the workload. For intensive training or fine-tuning, high-performance kit like DGX Spark makes sense. For continuous inference or internal assistants, a Mac Mini cluster or compact servers usually offer a better cost/capacity ratio. We analyse your case before recommending hardware.
They are AI models that run on your own server rather than in a third party’s cloud. The main advantage is privacy and control: your data never leaves your infrastructure, you do not depend on an external provider and costs are predictable. We tailor the model to your use case.
OpenClaw is the platform we use to structure AI agents able to query information, run tasks, coordinate tools and respond to events. We define their memory, permissions, workflows and cron jobs so they automate real work in a secure and maintainable way.
Yes. We operate from Barcelona and provide services across Spain and Ireland, both remotely and on-site when the project requires it. The infrastructure is designed and documented so you can run it from anywhere.
Shall we talk?
If you want to set up AI infrastructure, build agents with OpenClaw or assess which hardware suits you, we study your case and propose a realistic, scalable solution aligned with your business.
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