ZAALEN

Dezimi is a collaborative exchange for datasets — a shared common data environment where researchers, AI teams, and analysts trade cohorts under a credit economy. Three Claude-powered workflows do the heavy lifting: 1. Upload. Claude reads the structure of an uploaded cohort, scores it across 11 quality dimensions (the CALIBER index, 0–10), and pulls live evidence from PubMed, Cochrane and IEEE Xplore. The user signs a sworn declaration (SES eIDAS) and earns credits proportional to the dataset's size and quality. 2. Collect. The user types a natural-language request — "oncology patients over 50". Claude turns it into a structured filter spec via tool use, scans every active dataset in the network, and merges matching rows from multiple cohorts into a brand-new collection. Credits are spent; provenance is preserved. 3. Analyze. One click runs Shapiro-Wilk, Pearson/Spearman correlation, and Ward hierarchical clustering with live SSE streaming and reproducible artefacts. Every action is signed, version-controlled, and auditable. Built in 10 languages on FastAPI + React + PostgreSQL with encrypted at-rest columns, NASA-style code discipline (≤60-line functions, ≥2 assertions per function, bounded loops), and Claude Sonnet 4.6 / Opus 4.7 throughout.