EvidenceGrid AI

What EvidenceGrid AI is

EvidenceGrid AI is a web platform for research teams carrying out systematic literature reviews. It automates paper screening, data extraction, and conflict resolution, and its search panel queries PubMed, OpenAlex, arXiv, Europe PMC, and CORE together. AI checks papers against review criteria and flags borderline cases for human review; the platform also calculates kappa scores during screening. Reviewers can upload PDFs or have open-access versions fetched, then annotate papers in the built-in reader. Teams define custom extraction fields, and AI finds values in full text for reviewers to approve or edit. Extraction decisions are timestamped and attributed, and exports include approval audit trails. Evidence grids can be exported to Excel, CSV, or structured JSON with PRISMA flow counts. The guide describes a workflow aligned with PRISMA 2020 and Cochrane standards. Teams can invite co-reviewers with role-based access and shared annotations. The Free plan costs nothing and includes 10 papers and 3 AI extractions; no credit card is required to get started.

Who it suits

EvidenceGrid AI is aimed at research teams conducting systematic literature reviews, including teams that need shared annotations, co-reviewer access, or traceable extraction decisions.

Limits

The Free plan costs nothing and covers 10 papers and 3 AI extractions.

Getting started

1. Visit https://evidencegrid.app/.
2. Get started on the Free plan; no credit card is required.
3. Search across PubMed, OpenAlex, arXiv, Europe PMC, and CORE.
4. Set review criteria and screen papers, then invite co-reviewers as needed.
5. Upload PDFs or fetch open-access versions, define extraction fields, and review AI results.
6. Export the evidence grid to Excel, CSV, or structured JSON.

Verdict

EvidenceGrid AI brings literature search, screening, PDF review, and extraction into a shared review workflow. Its free plan provides a defined starting allowance of papers and AI extractions.