Artificial Intelligence applied to your business
We integrate LLMs, chatbots and automation into your business software. Concrete solutions, on-premise too, built by people who actually use AI.
Artificial intelligence only makes sense if it solves a real problem: reducing manual work, shortening response times, surfacing information hidden in huge archives.
We don't just "talk about AI": we integrate it into management systems, portals and business processes. We work with open-source and commercial LLMs and build solutions in the cloud or fully on-premise for those with strict privacy needs or internal policies.
Applied AI, not experimental
LLM integration into business software
We embed language models (GPT, Llama, Mistral, Claude) directly inside existing management systems, web apps and portals. AI becomes part of your workflow, not a separate tool.
Intelligent chatbots on company data
Virtual assistants that answer using your documents, manuals, internal procedures and contracts. RAG (Retrieval Augmented Generation) techniques for answers always grounded in your real content.
Document and data analysis
Automatic extraction of information from PDFs, invoices, contracts and emails. Classification, summaries, semantic search and document comparison at scale.
Business process automation
Email routing, drafting of replies and documents, quality control, customer service support. Less repetitive work with hybrid AI + rules workflows.
On-premise AI solutions
LLMs installed on the client's servers. Data never leaves the company: no mandatory cloud, full GDPR compliance and total control over privacy.
APIs and integration with management systems
REST endpoints to connect AI to your systems: ERP, CRM, ticketing, document portals. Webhooks, async job queues and native Microsoft 365 integrations.
The technologies we actually use
A solid stack from projects already in production, not sales slides.
LLM models
OpenAI GPT-4/5, Anthropic Claude, Llama, Mistral, Gemini, self-hosted open-source models.
Fine-tuning & customization
Training models on client data, advanced prompt engineering, output quality evaluation.
Vector databases & RAG
Company knowledge bases with Qdrant, Weaviate, pgvector. Embeddings, semantic retrieval, source citations.
Full-stack development
PHP, Python, Node.js, MySQL, PostgreSQL. Modern interfaces with Material Design and React.
Privacy & on-premise
Local inference with Ollama, vLLM, llama.cpp. Dedicated GPU servers, data isolation, audit logs.
AI orchestration
LangChain, agents, function calling, job queues, retry and fallback across different models.
Real projects we have delivered
Concrete cases, no slideware demos.
Chatbot on 5,000 company documents
For a manufacturing company we built an assistant that answers employees' technical questions by consulting manuals, ISO procedures and product sheets. Semantic search with source citations, on-premise deployment.
Email and PDF routing automation
For a professional firm we automated the reading of incoming emails: the AI classifies requests, extracts data from PDF attachments (invoices, contracts) and enters it into the management system, generating a draft reply for the operator.
AI built by people who actually use it
Real experience on projects already in production, not experimental POCs
We know the limits of the models and when AI is truly worth it
We build everything in-house: from the model to the user interface
We integrate AI into your processes — we don't sell you an isolated tool
On-premise solutions for those who can't or won't use the cloud
Cost transparency: we explain how token-based billing works
Got a process you'd like to make smarter?
Tell us what you do by hand today. We'll figure out together whether AI can really help — and if it's not worth it, we'll tell you.
Let's talk about your project