Ramon Navarro

Progress Agentic RAG ranked #1 on Snowflake's MADQA Leaderboard, an independent benchmark built with Oxford, UNC-Chapel Hill, and Hugging Face that tests whether AI answers are accurate and properly grounded in real documents, not just plausible-sounding. The win validates a year of work since the Nuclia acquisition building the Agentic Knowledge Layer (agentic capability embedded across ingestion, retrieval, and evaluation) and lands as the broader market shifts toward trust and governance as the deciding factor for enterprise AI.

Nuclia has been building something for the last two years. Our vision is to deliver an engine that allows engineers and builders to search on any domain specific set of data, focusing on unstructured data like video, text, PDFs, links, conversations, layouts and many other sources.

Imagine sitting in front of your computer, asking a complex question that pulls information from reports, meeting notes, videos and even audio or video snippets. Instead of receiving a fragmented set of responses, you get a single coherent answer—a response backed by traceable sources, enriched with context, and supported by everything your organization knows. This isn't a dream of the future. It's what the NucliaDB database makes possible today.