Service
Applied AI for your business
AI agents, automation, RAG on your own data, chatbots and computer vision — only where ROI is clear. Projects from €6,000, working MVP in 4-8 weeks.
Evicron is an AI and software studio in Barcelona that has been putting AI agents, automation and RAG on private data into production for companies across Europe since 2019 — more than 200 projects delivered across 12 industries. Our rule is simple — AI with purpose: we only build where there is a clear ROI, with projects from €6,000 and a working MVP in 4-8 weeks.
The problem: plenty of pilots, little production
Most companies have already tried ChatGPT; few have turned the experiment into a process. The reason is rarely the technology — it is starting from the tool instead of the problem. A generic chatbot nobody uses costs the same as an assistant wired into your database that saves hours every day. The difference lies in picking the right use case, measuring it, and shipping it to production with the same discipline as any other software.
What we build
- Autonomous agents that run entire processes: they read, decide, act and escalate to a human when needed.
- Automation of repetitive work: emails, documents, reports, syncing data between systems.
- RAG on your own data: your documentation and databases as the source of reliable, grounded answers.
- Chatbots for support and sales, trained on your business — not generic.
- Computer vision: document OCR, quality control, image analysis.
- AI voice agents that answer and make calls 24/7.
Three real examples: at Hipteca, AI-powered OCR digitises handwritten mortgage forms (~30 fields per photo) and a conversational assistant queries the CRM in Catalan and Spanish; at Forconnect, natural-language search built on GPT-4o matches clients with 250+ verified professionals; and Elop, our voice-agent platform, answers and places calls 24/7, books appointments and hands over to a human when it matters.
How we work
We start with a free initial consultation: we identify the processes where AI delivers measurable ROI and give you a fixed quote. Then four phases — Discovery, Design, Development, Launch and support — in weekly sprints, with a first clickable demo in week 2 and an MVP in production within 4-8 weeks.
We work with GPT-5, Claude and Gemini, and with open-source models such as Llama and Mistral when your data cannot leave your infrastructure. For RAG we use LangChain and vector databases like Pinecone or Qdrant. We choose models on performance for your case, not hype, and the integration is built so you can swap them without rewriting the system.
Why Evicron
We are a small team working remotely with clients across Europe, and we reply in under 24 hours. The code is yours from day one: full Git repository, no vendor or model lock-in. And because we also build our own AI products, we know what it takes to keep these systems running in production — not just to launch them.
Not sure where to start? Our AI consulting service assesses your processes and prioritises the use cases with the highest return; and if you want your team to get real value from these tools day to day, see our AI training for companies.
Tell us about your case — the first consultation is free and you will hear back within 24 hours.
Related case studies
Frequently asked questions
What can AI automate in my company? +
Repetitive work involving documents, email, phone calls and data: extracting fields from PDFs or photos with OCR, classifying and answering emails, handling calls with voice agents, natural-language search over your databases, and automated reporting. Evicron pins this down in a free initial consultation, identifying the processes with clear ROI before writing a line of code.
How much does an AI project cost? +
Applied AI projects at Evicron start at €6,000, with a fixed quote after a free discovery phase. A working MVP is typically in production within 4-8 weeks, with a first clickable demo in week 2.
What is RAG and what is it for? +
RAG (Retrieval-Augmented Generation) connects a model such as GPT-5 or Claude to your documents and databases so it answers with real company information instead of making things up. Evicron implements RAG with LangChain and vector databases like Pinecone or Qdrant — on local models too, if your data cannot leave your infrastructure.
Does AI work with my own data and in my language? +
Yes. GPT-5, Claude, Gemini and open-source models like Llama or Mistral perform well in Spanish, Catalan, English and other European languages. For Hipteca, the assistant Evicron built queries the CRM in Catalan and Spanish, and AI-powered OCR digitises handwritten forms with around 30 fields per photo.
Which model should I use: GPT-5, Claude, Gemini or a local one? +
It depends on cost, latency, language and privacy requirements. Evicron benchmarks several models during discovery and picks the best performer for your case; the integration is built so you can swap models later, and the code is yours — no lock-in.