Use cases
Built for every kind of review team.
Individual researchers, students & small labs.
Move from a year-long spreadsheet marathon to a rigorous, publishable review in weeks—without needing a statistician on call.
Common challenges
- Limited time, funding, and access to support staff.
- Need publishable, methodologically sound outputs.
- Often new to meta-analysis tools and statistical code.
How Axelium helps
- Guided workflows from question framing to final report.
- Built-in PICO and PEO defaults with guardrails against common errors.
- R-based statistics with zero setup—no scripting required.
- Affordable individual plan for a handful of reviews per year.
9 mo → weeks
Time to first review
Before
A PhD student spends 9–12 months on a single review: spreadsheets for screening, custom R scripts for statistics, manual PRISMA tracking.
With Axelium
The same student configures a PEO prevalence review in a week, finishes screening and extraction in a month, and refreshes the analysis in days as new evidence appears.