
AI that generates real value, not lab demos.
+300
Projects delivered
15+
Years of experience
100%
Senior team
80% of corporate AI projects never reach production. The problem isn't the technology — it's that they're built without understanding business processes, available data and the use cases that actually matter. An AI consultancy that doesn't understand product is just lab engineering. Dribba starts with a use case diagnosis before writing a single line.
Dribba is the AI consultancy in Barcelona that combines technical expertise with product vision: we identify the highest-impact use cases, design the right data architecture and build the integrations that work in production. From RAG and language models to autonomous agents and enterprise process automation.
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Frequently asked questions
AI projects fail mainly for three reasons: poorly defined use cases (automating what doesn't matter), insufficient data quality (models need clean, structured data), and lack of integration with existing systems. Dribba starts with use case diagnosis before writing a single line of code.
We work with the main LLM APIs (OpenAI GPT-4, Anthropic Claude, Google Gemini), RAG frameworks (LangChain, LlamaIndex), vector databases (Pinecone, Weaviate, pgvector), computer vision models and automation pipelines with n8n. The stack is chosen based on the use case, not the other way around.
A basic AI integration project (chatbot with RAG over internal documentation) starts at €15,000–€25,000. Projects with multiple agents, fine-tuning or legacy integrations can be between €50,000 and €150,000. The cost depends directly on the complexity of existing data and systems.
Most companies are more ready than they think. The minimum requirements are: reasonably structured data, a use case with measurable impact and willingness to iterate. Dribba offers an initial free assessment to evaluate data maturity and prioritise use cases with positive ROI within 6 months.
Have a project in mind?
No commitment, no small print. An honest assessment of your idea with the team that will build it.