Choose Sysrev if…
- You are doing general document review outside of academic/medical research.
- You want to train custom machine learning models on your data.
- You need a highly customizable, open-ended extraction platform.
Meta-analysis360Compare tools
Sysrev alternative forAI-assisted screening.
Sysrev is a general data extraction platform. Meta-analysis360 embeds Generative AI in every part of the process—acting like a dedicated co-researcher for increased speed and quality from protocol to screening.
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Sysrev is a trademark of its respective owner. Meta-analysis360 is an independent product and is not endorsed by or affiliated with Sysrev.
Side by side
Same job, different depth
Summaries reflect each tool's publicly documented features as of 2026. We aim to be fair — verify fit for your review and institution before switching.
Topic
Sysrev
Meta-analysis360
Platform focus
General purpose document review and data extraction
Purpose-built for systematic reviews and meta-analyses
Planning tools
Bring your own protocol
AI-drafted PROSPERO protocol and PubMed search strings
Screening AI
Custom ML models
AI-assisted screening with human-verified rationales
Which tool fits your review
Choose Meta-analysis360 if…
- You want specific rationales so you can easily verify the AI's thinking process.
- You want to calibrate the model to be sure it's aligned with your exact criteria.
- You want a dedicated co-researcher to validate your idea, execution, and selection.
FAQ
Common questions
Does Meta-analysis360 support data extraction like Sysrev?▾
Yes, we are building structured PDF extraction to tables. However, our primary focus is ensuring you have a perfect, high-recall screening phase first.
Will I lose eligible studies using AI?▾
Not with our workflow. The AI acts as an assistant, but you confirm every include/exclude decision. This combined approach improves final selection quality and ensures zero eligible studies are lost.
Screen faster. Decide yourself.
Open the live agent demo or sign in to run AI-assisted screening on your own library.