
We integrate AI into your company in 4–8 weeks. Measurable ROI from month one.
Resumen · datos clave
Don't scale your headcount. Scale your intelligence. We integrate automation, autonomous agents and knowledge systems directly into the core of your operation.
90% of AI projects fail from over-engineering or a lack of business judgment. We arrive with real experience: we know when AI is the answer and when it isn't. And when it is, we know how to integrate it so it generates measurable value from the first weeks.
Real technical case: at CityXerpa (Andorra's super-app, 120k+ users), an AI agent with Claude (Anthropic) over BigQuery, orchestrated by a Go service on Cloud Run, cut support-ticket resolution from 4 hours to 8 seconds, with ~70% of tickets closed without human escalation. Stack, metrics and improvement roadmap documented in the technical case on AI agents over BigQuery.
From automating operational workflows with n8n and Make, to deploying autonomous agents with OpenAI and Anthropic, or building RAG systems that let your team query thousands of documents in seconds. AI isn't a future project — it's a competitive advantage your competitors are already using.
Qué incluye
¿Encaja con lo que necesitas?
30 minutos. Sin pitch comercial. La conversación es contigo y con quien va a construirlo. Respuesta en menos de 1 hora.
Respaldo
+300
proyectos
15+
años
Flutter
partner oficial
Por qué elegirnos
We don't build demos. Every AI integration we do is tied to a business KPI: time saved, conversion improved, cost reduced. If there's no measurable impact, we don't build it.
AI isn't the solution to every problem. Sometimes a well-defined business rule is more reliable, cheaper and more maintainable than a language model. We know how to make that distinction.
We integrate AI into products with millions of users. We know the latency, token-cost, hallucination and reliability problems that only show up in production, not in conference demos.
Preguntas frecuentes
Any company with repetitive text- or data-based processes, large volumes of documentation, a need for personalization at scale, or operational flows that consume the time of high-value people. From startups to corporations with legal, HR, customer-support or data-analysis processes.
A working RAG system for a specific use case can be developed in 4-8 weeks at a cost significantly lower than hiring an additional person. ROI is usually positive within the first month of operation.
Yes, with the right configuration. Both OpenAI and Anthropic offer enterprise agreements that exclude using your data for training. We can also deploy open-source models (Llama, Mistral) hosted on your own infrastructure if data privacy is a critical requirement.
Yes. We integrate LLMs, on-device models (TensorFlow Lite, Core ML) and AI APIs into existing Flutter, iOS and Android apps. The integration can be done incrementally without rewriting the product.
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