Trust & transparency
How we build our data
Catalitium combines curated job listings, location-based salary references, and original research. This page explains how numbers on jobs, salary tools, and reports are produced.
Salary estimates
Estimates blend employer-disclosed ranges from our job database with location and title reference medians. We apply title-level uplifts for in-demand roles (e.g. AI/ML) and show a confidence score when multiple signals agree. Category tables on Salary Tools use CHF for DACH comparability; regional cards use local currency (CHF or EUR). Outliers are trimmed from medians.
Job curation
We focus on tech and AI/ML roles with signal over noise: salary hints where available, structured locations, and relevance scoring for search queries. Listings are refreshed continuously; stale or low-quality sources are deprioritised.
Ghost-job detection
Roles posted more than 30 days ago are flagged “May be filled” so candidates do not waste applications on likely-stale listings. This is a heuristic, not a guarantee—always confirm status with the employer.
Market research reports
Reports are produced independently from live listings and aggregated benchmarks, not press-release recycling. Each report documents sources and limitations in its methodology section. Premium tiers unlock full datasets and exports.
Disclaimer
All figures are estimates for planning and negotiation—verify compensation and role status directly with employers. Questions? Contact us.