Moara vs SWIFT-Review

Moara is a web-based AI research platform for literature reviews, supporting work from discovery through evidence synthesis. Researchers can search, organize, screen, and extract evidence in one workspace, then use its Agent to summarize papers, identify themes and gaps, compare findings, and answer research requests. It supports narrative and systematic reviews, including workflows aligned with PRISMA and Cochrane guidelines. Moara says its database contains more than 200 million scholarly papers across disciplines. Users can import PDFs, RIS, NBIB, TXT, or ZIP files and connect Zotero and LibKey. Teams can assign papers, share annotations, and follow review progress in real time. The Free plan allows up to 50 papers per review library. Core is $15/mo billed annually; Pro is $40/mo billed annually. Moara states that stored data is encrypted with AES-256 and data in transit with TLS 1.2 or higher, with internal access controls and role-based permissions. It says it does not sell personal data or use personal information for advertising.

SWIFT-Review is a desktop workbench for formulating systematic reviews and prioritizing literature for screening. Statistical text mining and machine learning identify over-represented topics and rank documents for manual review. Users can search, categorize, prioritize, visualize, and extract information from large citation sets. The ranking workflow requires an initial training seed, and the software does not estimate how many relevant articles remain above a threshold. It can import PubMed IDs or XML, RIS files, and previously saved SWIFT Text-mining Project files; PMID imports retrieve citation data through NLM’s Entrez e-Utilities interface. Exports include Excel, RIS, and plain tab-delimited text. The free desktop software is available for Windows and Mac, with downloads through Sciome’s applications portal after signing in or creating a free account. Installation requires administrative access. The guide lists 64-bit Windows 7, 8, or 10 and 64-bit Mac OS X 10.8 or later, and recommends 8 GB RAM; very large projects may need more. Minor updates usually happen automatically, while major updates may require administrator privileges.