Contentside

ContentSide builds AI systems for searching, classifying and automating documents and content. Its ready-made tools include CiteVal, which answers questions over documents with cited sources, ClassController for automatic document classification under human control, ArchiVal for making scanned PDFs searchable, and Semantic Platform for editorial teams. Custom work covers conversational search (RAG) over document collections, document automation agents and AI expert support.

Customers are organisations that hold large document stocks, such as contracts, archives, publications and technical documentation, and the company names IT and digital directors, business units and consultancies among its audiences. Services are sold as fixed-scope diagnostics, proofs of concept, missions or packages, and the ready-made tools are sold on subscription.

ContentSide was founded in 2010 and has worked on AI since 2019. It is based in Paris and has a team of 3 AI researchers and 3 AI developers. The company reports 20 AI deployments, hosts solutions in France, uses open-source LLMs and states that it does not train models on client data. It holds the Labelia responsible-AI label at the advanced level.

Product: CiteVal document Q&A with cited sources, ClassController classification, ArchiVal searchable PDF archives, Semantic Platform, plus custom RAG and document automation agents