Mapped Research vs Universal SLR Assistant
Mapped Research
mappedresearch.comUniversal SLR Assistant
sadeghanisi.github.ioSide by side
| Figure | Mapped Research | 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 | 4 | 1 |
| Spec score · AI Literature Review Software | 7.9 (#19) | 8.2 (#10) |
| Exports | Plots export at 600 DPI in PNG, SVG, PDF or EPS; manuscripts export to Word, PDF, LaTeX or Google Docs. | 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 maker describes Mapped as built for medical researchers, including solo clinicians and institution-backed professors conducting reviews. | It is intended for PhD students, researchers, professors, evidence synthesis teams, and systematic or scoping review authors. |
| Purpose | Mapped describes itself as an end-to-end evidence-synthesis platform for systematic reviews and meta-analyses. | Universal SLR Assistant supports systematic and scoping review workflows with AI-assisted screening, extraction, and reproducible outputs. |
| Support | The getting-started documentation directs users to contact the company for direct support and offers feature guides and blog tutorials. | The project directs users to the Complete User Guide, in-app Help panel, output logs, tests, and GitHub issues for support. |
Plans
Mapped Research
- FreeFree
- Mapped Project$79, paid once
- Mapped Team$139, paid once
- Custom EnterprisePriced on request
In their own words
Mapped Research
Mapped Research is a web-based evidence-synthesis platform for systematic reviews and meta-analyses, aimed at medical researchers. It supports intervention, prognostic, diagnostic test accuracy, network meta-analysis, and scoping review workflows. The workflow applies PRISMA variants according to study type and includes Cochrane, GRADE, and CINeMA. Statistical analysis uses the R packages metafor, mada, and netmeta, with plots that export at 600 DPI in PNG, SVG, PDF, or EPS. Manuscripts can export to Word, PDF, LaTeX, or Google Docs. Collaboration features include five roles, stage-level permissions, dual-reviewer workflows, conflict resolution, and an audit trail. Integrations include Google Sheets, Docs, Drive, and Slides, plus reference managers through RIS and BibTeX. The free plan allows up to 1,000 screening citations, 200 AI-assisted screenings, and three collaborators. Project plans list launch prices of $79 and $139 per project, alongside prices of $119 and $199. The API is listed as a roadmap item for Custom Enterprise plans, with a Q3 2026 target.
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.