Stacks turns your document library into a knowledge engine. Upload files. Ask questions. Get answers grounded in what you actually wrote, not what a model hallucinated.
Buried in PDFs, slides, reports, and shared drives. Your team wrote it down once. Nobody can find it again.
Compare that to Google's 95%. Your internal knowledge is harder to search than the open internet. That's the problem Stacks solves.
Stacks is built on knowledge graph technology, not naive embeddings. It understands relationships, not just keywords.
Natural language queries across your entire document library. Get precise answers with source citations, not vague summaries.
Documents are connected through semantic relationships, not just folder structures. See how concepts link across your entire corpus.
Built in France. EU AI Act compliant. Your data stays yours. No training on your documents. No third-party access.
Query in French, retrieve in English. Or vice versa. True multilingual understanding, not just translation wrappers.
Traditional search treats each file as an island. Stacks maps the relationships between every concept, entity, and insight across your entire library.
Stacks comes from La Forge, a Paris-based AI startup studio with deep roots in knowledge representation, graph computing, and applied AI. This isn't a weekend project with an API key. It's 15 years of research turned into product.