Reviewer-controlled AI screening

Screen thousands of papers in hours, not weeks.

Lumina ranks every citation against your inclusion criteria. You make every decision, with a complete audit trail from import to export.

64% fewer abstracts to screen 95% of relevant studies found Benchmark · 19 reviews
Go straight from search to screening Search databases inside Lumina and send results straight to your screening queue.
Let new evidence come to you Lumina reruns your search and brings new papers to your review inbox.
Free interactive demo No credit card required Plans from €9/month Free 5-day own-data trial (up to 100 papers)
Product workflow Screening + full text
Screen scientific articles. You decide.FIG. 02
Lumina ReviewerScientific literature review
AI-ranked articles01Digital medication remindersPatel et al. · 2025 · Randomized trial02Remote monitoring after dischargeChen et al. · 202403Hospital staffing and outcomesRivera et al. · 2023
Review criteriaAdults with hypertensionMedication adherenceRandomized trialsPixel-Bot / reading supportCompare the abstract
with your review criteria.
Title & abstract screeningAwaiting your assessment
Example Journal of Digital Health2025
ORIGINAL RESEARCHExample article

Digital medication reminders for adults with hypertension: a randomized trial

A. Patel, M. Chen & L. Rivera

DOI: 10.0000/lumina.example.001

Abstract

Objective. To assess digital reminders for medication adherence in adults with hypertension.

Methods. A randomized trial compared smartphone reminders with usual care.

Outcome. Medication adherence was assessed during follow-up.

Title & abstract / Randomized trialIllustrative research content
Your screening decisionDoes this article fit your review?
IncludeExcludeMaybe

Read the abstract → decide → screen the next article.
Your assessments inform the next ranking.

Illustrative articles & identifiers · adapted paper example

Screen abstracts · Retrieve open-access PDFs

🇪🇺 Hosted in Germany (EU) • 100% GDPR Compliant
Confidential Research • Zero model training on user data
PRISMA 2020 Compliant • Full audit-trail & flow export
Active Learning from Paper #1 • No 50-paper cold-start
Seamless import & export with your research stack:
EndNote Zotero Mendeley PubMed Scopus Rayyan / Covidence Web of Science RIS • CSV • BibTeX
A reviewer-controlled workflow

Prioritization without giving up the audit trail

Import RIS, CSV, or BibTeX records, let AI rank the queue against your criteria, and keep reviewer labels, notes, conflicts, and exports connected. Lumina guides attention; your research team makes every final decision.

Systematic Review Screening

Likely-relevant papers appear earlier while reviewer control and traceability remain visible.

Collaborative Review

Run independent double screening and resolve conflicts in the app.

Scholarly + Government Search

Search research databases and multilingual government grey literature, or upload RIS and CSV citations.

Full-Text PDFs

Automatically retrieve open-access articles or upload custom PDFs for full screening.

How Lumina works

Your review, in four clear steps

Find scientific articles, assess the evidence, and keep every decision traceable.

STEP 01

Bring your literature together.

Search scholarly databases and government publications, or bring your own citation files.

8 sources Scholarly + government literature
RISCSVBibTeX Import your own citation files
One unique record Merge duplicates across sources
Explore search & import
Find scientific articles for your review.FIG. 01
Lumina ReviewerScientific literature review
ScopusScholarly records
PubMedScholarly records
GovernmentGrey literature
Same journal article · two databases
PubMed
Example Journal of Digital Health2025

Digital medication reminders for adults with hypertension: a randomized trial

A. Patel, M. Chen & L. Rivera

DOI: 10.0000/lumina.example.001

Scopus · same DOIDigital medication reminders for adults with hypertensionA. Patel, M. Chen & L. Rivera · 2025
One article to screen
Example Journal of Digital Health2025

Digital medication reminders for adults with hypertension: a randomized trial

A. Patel, M. Chen & L. Rivera

DOI: 10.0000/lumina.example.001

PubMed + Scopus sources preserved
Scientific articles → screening queueSearch results + RIS / CSV / BibTeX imports
Illustrative articles & identifiers · conceptual product view
PRISMA 2020 Track B • Citation Discovery

Automated Citation Snowballing. Find landmark papers keyword searches miss.

Start with benchmark papers. Lumina follows their references and citing articles, then ranks discoveries by co-citation strength.

CITATION DISCOVERY

Find connected research.

Follow scientific citations to discover relevant articles beyond your keyword search.

Shared citations Prioritize articles co-cited by your benchmark papers
Backward references Find studies your seed papers cite
Forward citations Find newer articles citing your seeds
Discover studies through their citations.FIG. 05
Lumina ReviewerScientific literature review
Benchmark / seed article 1
Example Oncology Research2021

Immune checkpoint therapy in advanced melanoma: a randomized trial

M. Chen et al.

DOI: 10.0000/lumina.seed.001

Benchmark / seed article 2
Example Clinical Oncology2022

Long-term outcomes after combination immunotherapy for melanoma

A. Patel et al.

DOI: 10.0000/lumina.seed.002

Both seeds cite this paper
Shared reference / discovered articleCited by both
Example Oncology Research2020

Combined immune checkpoint blockade: long-term trial follow-up

L. Rivera et al.

DOI: 10.0000/lumina.shared.001

A candidate study to assess against your review criteria.

A different route to discovery

A query for “immunotherapy” may miss a paper described as “checkpoint blockade”. Citation links give you another way to find it.

Discovered article → title & abstract screeningRead the abstract. Decide Include / Exclude / Maybe.
Illustrative articles & identifiers · fictitious citation example
Lumina Live Interface Screenshot
Lumina Seed and Snowball Discovery interface showing benchmark seed papers, co-cited pearl candidates, and citation explorer
Lumina Value

How Lumina compares to traditional tools

Most screening tools were built two decades ago. Lumina is designed to solve the modern researcher's bottlenecks with active learning, direct imports, and full transparency.

Capability Lumina Traditional Tools
Immediate Ranking (No "Cold Start") Start screening sorted citations from paper #1. Yes (Embeddings) Requires 50+ screens
Direct Multi-Database Search Search and import citations directly in-app. Scopus + 7 more Manual RIS files only
Automated Citation Snowballing Track backward references & forward citations with co-citation ranking. Built-in (OpenAlex graph) None (requires external tools)
Real-Time Prioritization Queue re-ranks instantly after each decision. Every click Static or batch runs
Full-Text PDF Integration Auto-crawl open-access PDFs & read side-by-side. Auto-fetch & viewer Manual upload only
Interactive AI Assistant Ask questions about study methods or results. Pixel-Bot co-screener None
AI Auditing & Publication Support Generate methodology audit logs for peer review. PRISMA-trAIce logs Black-box or none
Transparent, Researcher-Friendly Pricing

Predictable pricing with zero annual lock-in

Traditional review tools charge $339+ per year upfront without student discounts. Lumina offers flexible monthly plans that you can pause or cancel anytime.

Free Demo & Tools

Always Free

Test active learning and build PRISMA diagrams with zero commitment.

€0 / forever
  • Interactive screening demo with sample data
  • Free PRISMA 2020 flow diagram generator
  • Multi-database search explorer
  • No account or credit card required

Starter

Solo Review

For one focused review with up to 750 papers.

€9 / month
  • 1 active project (up to 750 citations)
  • Active learning ranking from paper #1
  • Multi-database search (Scopus + 7 sources)
  • Export decisions & PRISMA flow stats

Need more than two reviewers or larger reviews? See Team Plans (up to 100,000 papers) →

Free tool

Already have the counts and just need the PRISMA diagram?

Turn identification, screening, and inclusion counts into a PRISMA 2020 flow diagram. No signup required.

Create diagram free

Frequently Asked Questions

What is the best alternative to traditional systematic review software?

Lumina serves as a modern, AI-powered alternative to traditional screening tools. It connects to major databases, supports RIS and CSV imports, and ranks your screening queue so reviewers can focus attention on the records most likely to match their criteria.

Is Lumina an academic search engine?

Lumina is not a general academic search engine like Google Scholar. It is an evidence-search and review tool that brings scholarly records from sources such as PubMed, OpenAlex, Europe PMC, arXiv, bioRxiv/medRxiv, and OpenAIRE together with official government grey literature before screening.

Is Lumina an AI literature review tool?

Yes. Lumina helps with the screening stage of literature reviews and systematic reviews: importing citations, ranking titles and abstracts, supporting reviewer decisions, resolving conflicts, and exporting structured results for reporting.

Is Lumina Reviewer free?

The interactive demo, multi-database search explorer, and PRISMA 2020 flow diagram generator are 100% free with no account or credit card required. You can also start a free trial up to 100 papers with your own citations to experience active learning prioritization on real research data. Full systematic review plans start at just €9/month with flexible monthly billing.

How does Lumina's active learning AI avoid the "cold start" delay?

Traditional active learning review tools require you to screen 50+ papers blindly before the AI starts ranking. Lumina solves this by converting your criteria and titles into semantic text embeddings immediately, giving you a prioritized, sorted abstract queue from paper #1.

Can I search databases and import citations directly into my project?

Yes. Lumina lets you keep Scopus in your workflow and search seven supplementary sources: PubMed, OpenAlex, Europe PMC, arXiv, bioRxiv/medRxiv, OpenAIRE, and a bundled Government publications source. Government queries can be expanded across English, Dutch, German, French, and Spanish. Results are combined and deduplicated, while grey literature remains clearly marked as not necessarily peer-reviewed.

Will the AI make inclusion or exclusion decisions automatically?

No. To ensure high methodological quality, human reviewers always retain complete control over all decisions. Lumina's active learning engine sorts the queue, and our Pixel-Bot co-screener provides on-demand explanations on tricky abstracts, but reviewers make the final Include or Exclude choices.

How does Lumina track counts for my PRISMA flow diagram?

Lumina logs identification, screening, exclusion reasons, and final inclusion counts throughout your review. You can generate a PRISMA 2020 flow diagram from those counts instead of rebuilding the numbers manually at the end.

Is my research data secure and GDPR-compliant?

Yes. All Lumina servers are hosted in Germany (EU) under strict GDPR data protection guidelines. Your unpublished review datasets, screening decisions, and uploaded PDF files are private, secure, and never used to train external commercial models.

Bring your citation export into one traceable screening queue.

Rank imported papers against your inclusion criteria, review the evidence, and keep control of every final decision.