EvidenceGrid AI
EvidenceGrid AI is a web platform for research teams carrying out systematic literature reviews.
What EvidenceGrid AI is
EvidenceGrid AI is a web platform for research teams carrying out systematic literature reviews. It brings searching, screening, full-text review, extraction, conflict handling, and exporting into one workflow. Its search panel queries PubMed, OpenAlex, arXiv, Europe PMC, and CORE together. AI compares papers with review criteria, flags borderline records for human decisions, and calculates kappa scores during screening. Reviewers can upload PDFs or retrieve open-access copies, then annotate them in the built-in reader. Teams create custom extraction fields, while AI identifies values in full text for approval or editing. Decisions receive timestamps and reviewer attribution, with approval audit trails in exports. Evidence grids can be exported as Excel, CSV, or structured JSON with PRISMA flow counts. Co-reviewers can receive role-based access and shared annotations. The workflow guide describes alignment with PRISMA 2020 and Cochrane standards. The Free plan is free, covering 10 papers and 3 AI extractions without a credit card.
Good
- Searches five literature databases simultaneously
- Flags borderline screening cases for review
- Calculates kappa scores automatically
- Exports Excel, CSV, and JSON
- Supports role-based co-reviewer access
Watch out
- Free plan covers 10 papers
- Free plan includes 3 AI extractions
- Web platform only
Who it suits
It suits research teams conducting systematic literature reviews. Co-reviewers and teams needing structured screening, extraction, audit trails, and exports may find its workflow relevant.
Verdict
EvidenceGrid AI combines literature search, screening, PDF review, extraction, and audit-ready export features for systematic reviews. Its free plan provides a defined starting allowance, while larger workflows may need more capacity.
Plans and prices
From EvidenceGrid AI's own pricing page, checked 8 Oct 2026.
| Plan | Price | What it gives you |
|---|---|---|
| Free | Free | 10 papers · 3 AI extractions · Free to get started. No credit card required. |
The facts
Each one read from EvidenceGrid AI's own pages, with the date it was checked.
What it does
- Audit trail
- Extraction decisions are timestamped and attributed, and exports include approval audit trails.checked 8 Oct 2026
- Data extraction
- Reviewers define custom extraction fields, and AI extracts values from full text for reviewers to approve or edit.checked 8 Oct 2026
- Exports
- Evidence grids can be exported to Excel, CSV, or structured JSON with PRISMA flow counts.checked 8 Oct 2026
- Intended users
- The product is presented as a tool for research teams conducting systematic literature reviews.checked 8 Oct 2026
- Literature search
- The search panel queries PubMed, OpenAlex, arXiv, Europe PMC, and CORE simultaneously.checked 8 Oct 2026
- Methodology
- The systematic review guide says its workflow aligns with PRISMA 2020 and Cochrane standards.checked 8 Oct 2026
- PDF review
- Reviewers can upload PDFs or have the platform fetch open-access versions, then annotate papers in the built-in PDF reader.checked 8 Oct 2026
- Purpose
- EvidenceGrid AI automates paper screening, data extraction, and conflict resolution for systematic reviews.checked 8 Oct 2026
- Reliability
- The platform calculates kappa scores automatically during screening.checked 8 Oct 2026
- Screening
- AI pre-screens papers against review criteria and flags borderline cases for human review.checked 8 Oct 2026
- Support
- The feedback page lets users send a message for support and directs suspended account holders to its Contact tab.checked 8 Oct 2026
The company
- Team and access
- The platform supports inviting co-reviewers with role-based access and shared annotations.checked 8 Oct 2026
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