Use-case selection
Finding processes where AI pays off (high-volume, repetitive and document-heavy work) and estimating the savings before building anything.
AI and automation engineering
We build LLM-based assistants, document processing and process automation that plug into your existing systems and data, with a measurable effect on handling time and error rates.
What we do
Scope of work
LLM assistants with RAG
Assistants that answer from your documents and data, cite their sources and respect access rights, on Azure OpenAI, Amazon Bedrock or open-weight models.
Intelligent document processing
Extracting data from invoices, contracts, orders and forms, with validation and human review when confidence is low.
Workflow automation and agents
Automating multi-step processes across email, ERP, CRM and ticketing systems, with clear limits on what the AI may do on its own.
Evaluation and guardrails
Test sets, quality metrics, protection against prompt injection and monitoring of cost and answer quality in production.
Technologies
Typical technologies
We are not tied to any single vendor: we work on public and private clouds and adapt to your environment, licences and team skills. These are the tools we use most often in this area.
Models and platforms
- OpenAI
- Claude
- Gemini
- Llama
- Mistral AI
- Hugging Face
LLM frameworks
- LangChain
- LangGraph
- LlamaIndex
- Semantic Kernel
- Model Context Protocol
Vector search and retrieval
- pgvector
- Qdrant
- Weaviate
- Milvus
- Elasticsearch
Document processing and automation
- n8n
- Python
- Tesseract OCR
- Power Automate
- Apache Airflow
Related services
Often combined with this service
- OpenAI
- Claude
- Gemini
- Llama
AI Services
From AI strategy and proof of concept to production: generative AI and machine learning solutions built into your products and processes.
Let's talk about your project
Tell us where you are today and what you want to achieve. We will suggest a concrete first step, and we can sign an NDA before any technical discussion.