AI Integration in Software — servicio Dribba
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AI Integration in Software

We integrate AI into your company in 4–8 weeks. Measurable ROI from month one.

Working POC in 4–8 weeksMeasurable ROI from month 1Free technical consultation

Resumen · datos clave

Servicio
AI Integration in Software
Qué incluye
  • Autonomous agents, RAG pipelines over your own documentation, and computer vision
  • LLMs from OpenAI, Anthropic Claude, Gemini and open-source models (Llama, Mistral)
  • Integration into existing mobile and web apps without rewriting the product
Plazo típico
1–3 months (working POC in 4–8 weeks)
Inversión
From €8,000 · Typical range €15,000–40,000
Diferencial
AI built into the core of the product with measurable ROI, not as a marketing feature. Full stack: enterprise models with no-training agreements, or on-premise models when privacy demands it.

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

  • Workflow automation: we connect CRM, ERP, Slack and isolated tools into one cohesive nervous system (n8n, Make, Python)
  • Agentic AI: autonomous agents that plan, execute and verify complex tasks 24/7 (OpenAI, Anthropic, LangChain)
  • RAG systems: your team queries internal documentation, contracts and reports instantly with high precision (Pinecone, LlamaIndex, Weaviate)
  • Fine-tuning models on your own data and deploying to production with MLOps
  • Computer Vision: classification, object detection and OCR built into apps and industrial processes
  • Integration into Flutter, iOS and Android mobile apps with on-device and cloud architecture
Claude (Anthropic)GoCloud RunBigQueryOpenAIRAGFunction CallingPineconeLlamaIndexLlama (self-hosted)Computer VisionMLOpsGemini

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Reserva una reunión con un partner

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

Lo que nos diferencia en AI Integration in Software.

AI applied to real businesses

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.

The judgment to know when NOT to use AI

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.

A team with production experience

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

Lo que nos preguntan sobre AI Integration in Software.

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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