Elicit vs SWIFT-Review

Elicit is an AI research assistant for researchers gathering and assessing evidence. Its Research Agent draws on scientific databases, academic journals, public data sources, uploaded documents, a corpus of 138 million academic papers, and the wider web. A session can use up to 20 uploaded resources, including PDF, DOCX, XLSX, PPTX, and JPG files. Elicit offers Research Agent sessions, Research Reports, and Systematic Reviews, and supports AI-generated claims with sentence-level citations to underlying sources. It can find up to 1,000 relevant papers and analyze up to 20,000 data points at once. Research Reports export as PDF or Word, tables as CSV or Excel, and references as RIS or BIB. Elicit runs on the web and provides an API, but API access requires Pro or above. Its MCP server connects to Claude Desktop, Claude Code, and other compatible clients using OAuth 2.0. Basic is free with limited usage for Research Agent and Research Reports; Plus costs $11 a month. Pro is $39 a month and Scale is $89 a month. Elicit states that it has achieved SOC 2 Type II compliance.

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.