Systematic reviews in hours,
not months.
Axelium is systematic review and meta-analysis software that turns months of manual searching, screening, extraction, and statistics into hours. Automate the busywork without compromising on methodological rigor.
Used by evidence synthesis teams at pharma companies, HTA agencies, and research institutions to publish faster with full audit trails.
For teams at
Systematicreviewsareessential—andpainfullyslow.
A single review can take 6–9 months, involve hundreds of references, and require stitching together a patchwork of database portals, screening tools, spreadsheets, and ad-hoc R scripts.
Most of that time is spent on repetitive work: configuring search strategies, screening thousands of abstracts, extracting data from dense PDFs, and re-running statistical models whenever studies change.
Axelium replaces the patchwork with a single, auditable platform—so you can focus on the science, not the plumbing.
Timeline
Tools required
Data traceability
From PICO to publication.
Fasterreviews.Fullydefensible.
Accelerate your workflow.
- Configure PICO or PEO questions in minutes instead of days.
- Automate search planning, screening, data extraction, and statistics.
- Cut project timelines from months to weeks—or even hours for focused updates.
Stay methodologically sound.
- Structured PICO and PEO frameworks keep every question methodologically sound from the start.
- Built-in support for common effect measures (RR, OR, HR, MD, SMD, proportions).
- Support PRISMA-style flows and Cochrane-style rigor in your methods and reporting.
Trust every number.
- AI extracts only structured values (events, totals, means, SDs) into deterministic analysis code—never runs stats directly.
- Every data point is tied to its source snippet in the original PDF for full traceability.
- Complete audit trail of decisions across searching, screening, extraction, and modeling.
Builtfortherigourclinicalresearchdemands.
Custom Frameworks: Support for both standard PICO (Intervention) and PEO (Prevalence/Risk Factor) frameworks.
Smart Query Generation: Axelium's AI translates your clinical questions into optimized, syntax-perfect search strings for repositories like PubMed and ClinicalTrials.gov.
Builtforeverylevelofevidencework.
Individual researchers & small teams.
- Accelerate theses, dissertations, and small lab projects without needing a biostatistics team.
- No prior experience with meta-analysis software required—guided workflows walk you through each step.
- Focus on interpretation and writing instead of manual data wrangling.
Clinicians & guideline authors.
- Rapidly synthesize evidence for clinical questions and guideline updates.
- Use PICO/PEO frameworks to standardize how questions and endpoints are defined.
- Keep living reviews up-to-date as new evidence is published.
CROs, consultancies & evidence-service providers.
- Scale systematic review services without scaling headcount.
- Turn repeated review types into reusable configurations and templates.
- Increase margin per review and shorten delivery timelines for clients.
Institutions & organizations.
- Support HEOR, HTA submissions, and portfolio decisions with reproducible methods.
- Centralize templates, search strategies, and effect measure choices across teams.
- Enable consistent, auditable reviews across therapeutic areas and use cases.
Watchtheplatforminmotion.
Protocol Setup
Turn your clinical question into a rigorous, AI-optimized protocol in minutes.
Statistical Analysis
Run complex random-effects models and subgroup analyses with a single click.
Exploring Data
Every extracted value traces back to its source PDF — full transparency, no black boxes.
Validatedagainstpublishedresearch.
We used Axelium to independently reproduce a peer-reviewed meta-analysis of neoadjuvant immunotherapy in resectable NSCLC — a seven-RCT study originally conducted by a five-author team. One analyst completed the reproduction end-to-end in two working days, covering screening, extraction, pooled analysis, sensitivity, publication bias, subgroups, meta-regression, GRADE, and report generation.
2 days
Reproduction time
One analyst, end-to-end across all five workflow stages, versus the five-author team on the original paper.
3 of 4
Endpoints matched
Pooled estimates for EFS, pCR, and MPR matched the published values within 6%.
30+
Analyses in Stage 4
Forest plots, sensitivity, publication-bias tests, subgroups, meta-regression, and GRADE.
Keepyourreviewsalive.
Turn any project into a living review. Axelium periodically checks for new studies that match your question, flags potentially relevant records, and helps you update screening decisions, extractions, and analyses with minimal effort.
Instead of starting from scratch every few years, you can incrementally maintain a single, continuously updated evidence base.
WhyAxeliuminsteadofspreadsheets,pointtools,orgenericAI?
Manual workflow
- Patchwork of database portals, spreadsheets, and ad-hoc R scripts. Slow, error-prone, and hard to reproduce.
Screening-only tools
- Help with abstract screening but leave you to manage extraction, analysis, and reporting manually.
Generic AI
- Fast but opaque. Hallucinated numbers, no data lineage, and no statistical rigor.
Axelium
- End-to-end workflow built for systematic reviews, with AI-assisted extraction, deterministic stats, and full traceability.
- Benchmark: reproduced a 7-RCT published meta-analysis in 2 days, matching 3 of 4 endpoints within 6% of the original pooled estimates.
Backed by
HowwethinkaboutAIinresearch.
Automation should earn the same scrutiny as any human reviewer. These principles guide every design decision in Axelium.
Purpose-built for evidence synthesis
Every feature is designed specifically for systematic reviews and meta-analyses — not bolted onto a generic AI assistant. Structured PICO/PEO frameworks, validated statistical models, and domain-specific extraction workflows come standard.
AI assists — you decide
The AI accelerates screening and extraction, but every value must be reviewed and approved before it enters any analysis. Your methodological judgment drives the review; Axelium handles the repetitive work.
Deterministic statistics, full traceability
Statistical calculations run on deterministic R/metafor code, not AI. Every extracted number traces back to its source PDF. Every screening decision and configuration change is logged with a timestamp for complete auditability.
Readytoautomateyournextreview?
Start a new project in minutes, explore Axelium with real data, and see how much manual work you can eliminate.