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lgraz.com is not a traditional SaaS or enterprise software platform. It is the personal service website of Lukas Graz, a statistical consultant based in Zurich. According to the site, Lukas Graz has a background in mathematics and currently works as a Statistical Consultant at ETH Zurich. He mainly provides statistical consulting for PhD students, master’s students, and industry professionals, and has served more than 200 clients.
His services cover research planning, statistical modeling, and reproducible research delivery. For research planning, this includes research question formulation, statistical hypotheses, preregistration, experimental design, sample size and power analysis, responses to reviewer comments, one-on-one coaching, and customized workshops. For modeling, the coverage includes multiple regression, ANOVA/ANCOVA/MANOVA, LMM/GLMM, GLM, GAM, SEM, causal inference, time series, Gaussian processes, multivariate analysis, bootstrap, permutation tests, nonparametric tests, random forests, and more. On the technical delivery side, he supports R programming, Linux, bash, git, Docker, as well as Shiny dashboards, R Markdown, Quarto websites, and reproducible manuscripts.
The site discloses clear hourly rates: the first 30-minute Zoom consultation is free; industry or institutional clients are charged 170 CHF/hour, reduced to 140 CHF/hour after more than 10 hours; students are charged 140 CHF/hour, reduced to 100 CHF/hour after more than 5 hours. Payment methods are not specified.
The strengths are a credible consultant background, relatively extensive service experience, broad coverage of statistical methods, and the ability to combine modern IT tools for reproducible research. The free initial consultation also lowers the barrier to communication. The limitation is that this is not a standardized software product. The site does not provide information on account systems, team permissions, third-party integrations, APIs, data security compliance, or cloud/self-hosted deployment, so it is not suitable for evaluation under typical enterprise SaaS procurement criteria.
It is suitable for researchers, students, and industry analysis projects that need statistical planning, paper-related analysis, complex modeling, R implementation, responses to reviewer comments, or Shiny/R Markdown/Quarto deliverables. It is not suitable for teams looking for out-of-the-box enterprise software, a multi-user collaboration platform, or a system that can be deployed at scale.
The crawled text does not provide information about access from mainland China, so this cannot be determined and should be marked as unknown.
⚠ This review is compiled from public sources and does not constitute a purchase recommendation. Verify all facts on the vendor's official site. Verify on lgraz.com official site.
lgraz.com is an Switzerland SaaS provider. TG4G tracks its product information, an overall rating of 4.0/10, and a China-accessibility score of Workable. Click "Visit Official Site" to reach lgraz.com directly.