OpenAI (GPT)
The most widely used and mature option. Ideal for chat, text generation, analysis and code. Good value for money.
Versatile
AI providers
The right provider for every task
We work with the four major AI model ecosystems. Each one excels at different things — and we choose the one that best fits each feature of your product.
Anthropic Claude
Excellent with long documents (manuals, contracts, full reports) and very reliable at following complex instructions.
Long documentsMistral
A European model, strong in Spanish and French. An attractive option for data privacy and compliance with European regulations.
European · privacy complianceLlama and open source
When data can't leave your company, we host open-source models on your server or in a private European cloud.
On your server
Always multi-model
Don't lock yourself into one provider
When your whole product depends on a single AI provider, any price change, outage or new policy hits you directly. We design multi-model architectures so you always have alternatives, control over costs and the freedom to switch tomorrow.
Switch providers without rewriting your application
Choose the best model for each feature
Have a plan B if your main provider goes down
Control costs with metrics and per-user caps
Keep sensitive data inside your company
Comply with the GDPR and the new EU AI Act without surprises
Capabilities
What you can do with AI today
It's not all chat. Modern AI powers many different features inside your product — and combining them well is what separates a project that adds value from one that just looks good on the website.
Conversational AI
Assistants that understand natural language and keep track of the conversation with your customers or your team.
Image analysis
AI reads scanned documents, product photos or incident images and extracts structured data.
Code generation
Developer assistants that generate code, explain errors and speed up repetitive technical tasks.
Search by meaning
Finds related documents or products even when different words are used. Ideal for catalogs and FAQs.
Text generation
Automatic drafting of product descriptions, customer replies, meeting summaries or reports.
Automatic classification
AI tags incoming emails, support tickets or documents by type and priority — without rigid rules.
Architecture
How we choose the model for each request
Behind your product, we build a smart layer that decides which provider to use at any moment — based on cost, availability and data sensitivity.
01
Classification
Each request is analyzed to see what it needs: a fast answer, long text, sensitive data or a technical task.
02
Cost-based selection
The system picks the cheapest model that meets the minimum quality for the task. No overspending on simple queries.
03
Automatic plan B
If the main provider fails or takes too long, the system retries with the next one without the user noticing.
04
Live metrics
Cost per user, latency and error rate in real time. Alerts when something goes over budget.
Methodology
How we integrate AI into your product
A clear four-phase process to take AI from idea to production, with no billing surprises and no risky dependencies.
Audit
We identify which tasks in your product genuinely benefit from AI — and which aren't worth it.
Design
We choose the right models for each feature and design a multi-model architecture with controlled costs.
Integration
We connect the models to your product, set up routing and fallbacks, and roll everything out for real-world testing.
Metrics and improvement
We monitor cost, quality and latency, and fine-tune models and configuration based on how your users actually behave.
Measurable impact
Numbers that justify the investment
Typical results we achieve in AI integration projects for SMEs and mid-sized companies in Spain.
FAQ
Common questions about integrating AI
Which AI model is the best?
It depends on the task. For fast, low-cost chat, GPT-4o mini or Mistral. For long documents and complex analysis, Claude. For maximum privacy, an open-source model on your own server. We help you choose.
How much does it cost to integrate AI into my product?
The cost depends on the use case, the models and the systems we need to connect. We also define usage controls and metrics in a fixed-price proposal.
What if OpenAI raises its prices or changes the rules?
It won't affect you. We design the architecture so that switching providers is a matter of configuration, not of rewriting your product.
How do we keep costs under control?
We set per-user caps, live metrics and alerts. If a feature goes over budget, you know the same day — not at the end of the month.
Can I use AI without my data going to OpenAI's cloud?
Yes. We host open-source models on your server or in a private European cloud. It costs a little more, but it guarantees your data never leaves your company.
How long does an integration take?
A first production-ready integration usually takes 3 to 6 weeks. After that, we iterate on real metrics to fine-tune cost and quality.
Ready to integrate AI into your product without being tied to a single provider?
We help you choose the right models, control costs from day one and keep the freedom to switch tomorrow. No-obligation initial assessment.