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LUMINA

AI-Powered Systematic Review Screening

Screen scientific papers 10x faster using Active Learning, Dense Retrieval, and LLM assistance.

AI

ACTIVE LEARNING

The system learns from your decisions and surfaces the most relevant papers next.

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SEMANTIC SEARCH

SPECTER embeddings understand scientific text meaning, not just keywords.

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PIXEL-BOT

Get a second opinion from AI when you're unsure about a paper.

PROVEN RESULTS

Tested on 20+ real systematic review datasets with published ground truth labels

88.8%
Work Saved
Best performing dataset
20+
Datasets Tested
From SYNERGY benchmark
95%
Recall Target
Find most relevant papers
~30%
Less to Screen
Average across datasets

HOW MUCH TIME WILL YOU SAVE?

In systematic reviews, screening thousands of papers takes weeks. Our AI learns your inclusion criteria and prioritizes the most relevant papers first, letting you find 95% of relevant studies while skipping up to 89% of irrelevant ones.

Example: 8,793 papers → screen only 1,000
Validated: 104/104 relevant papers found