AI Engineering
Architecture, integration and deployment of language models in production systems. From prototype to go-live with traceability and security.
Request a free assessmentCompanies with internal data that want AI answering questions about it
Technical teams that want to integrate LLMs into existing systems
Businesses with dense documentation that need semantic search
Companies that tried generic AI and need something robust
CTOs who want to assess feasibility before hiring an internal team
“We use ChatGPT but it doesn’t know our company’s data”
“The model hallucinates: we need reliable answers with internal sources”
“We have PDFs, spreadsheets and a database: we want AI to answer about all of it”
“We built a prototype but couldn’t get it into production securely”
Every deliverable solves a real problem
RAG: Answers with your data
AI answers using your documents as the source, with citations. No hallucination.
LLM integration into systems
We connect OpenAI, Claude or open-source models to your ERP or CRM via a secure API.
Data pipeline for AI
Preparation, chunking, vectorization and indexing of your data from any source.
Model fine-tuning
We train the model on your company’s specific vocabulary and domain.
Guardrails and monitoring
Filters and validation to prevent inappropriate answers. Full traceability.
Technical assessment
We map your data, define the ideal architecture and deliver a technical document.
Ready to get started?
We analyze your context and tell you honestly what makes sense to implement.