EvidenceGrid AI vs Universal SLR Assistant
EvidenceGrid AI
evidencegrid.appUniversal SLR Assistant
sadeghanisi.github.ioSide by side
| Figure | EvidenceGrid AI | Universal SLR Assistant |
|---|---|---|
| Price from | Free | Free |
| Free plan | Yes | Yes |
| Free trial | — | — |
| Open source | — | Yes |
| Web | Yes | Yes |
| Windows | — | Yes |
| macOS | — | Yes |
| Linux | — | Yes |
| API | — | Yes |
| Self-hosted | — | Yes |
| Plans published | 1 | 1 |
| Spec score · AI Literature Review Software | 7.5 (#24) | 8.2 (#10) |
| Exports | Evidence grids can be exported to Excel, CSV, or structured JSON with PRISMA flow counts. | Workspace exports include decision CSV/XLSX files, AI and human decision logs, exclusion reasons, PRISMA-ready counts, a methods draft and a manifest. |
| Intended users | The product is presented as a tool for research teams conducting systematic literature reviews. | It is intended for PhD students, researchers, professors, evidence synthesis teams, and systematic or scoping review authors. |
| Purpose | EvidenceGrid AI automates paper screening, data extraction, and conflict resolution for systematic reviews. | Universal SLR Assistant supports systematic and scoping review workflows with AI-assisted screening, extraction, and reproducible outputs. |
| Support | The feedback page lets users send a message for support and directs suspended account holders to its Contact tab. | The project directs users to the Complete User Guide, in-app Help panel, output logs, tests, and GitHub issues for support. |
Plans
In their own words
EvidenceGrid AI
EvidenceGrid AI is a web platform for research teams conducting systematic literature reviews. It automates paper screening, data extraction, and conflict resolution. Searches run across PubMed, OpenAlex, arXiv, Europe PMC, and CORE at the same time. AI pre-screens papers against review criteria and flags borderline cases for human review, while kappa scores are calculated during screening. Reviewers can upload PDFs or fetch open-access versions, then annotate them in the built-in reader. Teams define custom extraction fields; AI finds values in full text for approval or editing. Decisions are timestamped and attributed, and exports include approval audit trails. Evidence grids export to Excel, CSV, or structured JSON with PRISMA flow counts. Co-reviewers can receive role-based access and shared annotations. The workflow guide says it aligns with PRISMA 2020 and Cochrane standards. The Free plan costs nothing, includes 10 papers and 3 AI extractions, and requires no credit card.
Universal SLR Assistant
Universal SLR Assistant supports systematic and scoping reviews with AI-assisted screening, extraction, and reproducible outputs. It provides a desktop interface and a browser-based local Web App, and imports RIS, BibTeX, CSV, and plain-text references, including exports from PubMed, Scopus, and Web of Science. Its workflow covers abstract screening, full-text PDF processing, structured extraction, and export; likely duplicates are identified by DOI and fuzzy title matching. Workspace mode stores references, PDF metadata, review items, decisions, and audit events in a local SQLite workspace, separating AI suggestions from human decisions. Exports can include decision files and logs, exclusion reasons, PRISMA-ready counts, a methods disclosure draft, and a manifest. The project supports a range of cloud and local AI providers. Cloud providers receive submitted paper text, while Ollama or another local endpoint can keep it on the user's computer or local network. AI results are assistance only: people must verify them and make final review and reporting decisions. The software is free under the MIT License; cloud AI provider API fees may apply.