Retrieve. Generate.
Retgen AI
We build RAG systems, document intelligence pipelines, and semantic search engines that actually work in production.
From Documents to Answers
RAG Systems
Production retrieval-augmented generation over your documents, knowledge bases, and internal data. With evaluations, guardrails, and citations.
Document Processing
Extract, classify, and structure information from contracts, legal docs, and unstructured text at scale.
Semantic Search
AI-powered search engines that understand meaning, not just keywords. Built for enterprise data and custom domains.
Conversational AI
Production chatbots and assistants grounded in your data. No hallucinations, just answers with sources.
Custom Model Training
Fine-tuning and training models for your specific domain. Classification, extraction, embeddings — tailored to your data.
Data Pipelines
ETL, data preparation, and ingestion workflows. Get your data AI-ready with clean, structured pipelines.
What We're Building
Open datasets and tools from our R&D across AI domains.
FOTBCD
ReleasedLarge-scale building change detection dataset from French orthophotos — 28 departments, 0.2m resolution, directional change labels
Italian Legal Knowledge Graph
In ProgressThe entire Italian legal framework structured as a knowledge graph — laws, decrees, regulations, and their relationships
Italian Legal Embedding Model
In ProgressEmbedding model trained on a large corpus of Italian legal content for domain-specific semantic search
Have documents that need to work harder?
Let's talk about turning your unstructured data into searchable, queryable AI.