Trust & transparency
How we build our data
Catalitium combines indexed catalog listings, location-based salary references, and original research. This page explains how numbers on jobs, salary tools, and reports are produced.
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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). Listing and compensation cards label employer-disclosed pay vs catalog Est. bands — there is no separate confidence-score UI on Salary Tools. Category tables on Salary Tools use CHF for DACH comparability; regional cards use local currency (CHF or EUR). Outliers are trimmed from medians.
Catalog job selection
We focus on tech and AI/ML roles with signal over noise: salary hints where available, structured locations, and explainable filter heuristics for search queries. Catalog freshness depends on ingest cadence and listing dates — we do not claim an automated quality-based ranking of sources.
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 catalog listings and aggregated benchmarks, not press-release recycling. Each report documents sources and limitations in its methodology section. Premium unlocks full report bodies; where tables support it, on-page CSV export is available.
Disclaimer
All figures are estimates for planning and negotiation—verify compensation and role status directly with employers. Catalog coverage is not a continuous live ATS dump. Questions? Contact us.