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Axelium vs EvidenceGrid AI

Axelium

axelium.ai

EvidenceGrid AI

evidencegrid.app

Side by side

FigureAxeliumEvidenceGrid AI
Price from$29/moFree
Free planYesYes
Free trial——
Open source——
WebYesYes
Plans published51
Spec score · AI Literature Review Software8.3 (#8)7.5 (#24)
SupportThe contact page provides [email protected] for existing users and says the team replies within 1–2 business days.The feedback page lets users send a message for support and directs suspended account holders to its Contact tab.

Plans

Axelium

  • FreeFree
  • Researcher$29 a month
  • Professional$79 a month
  • Team$266 a month
  • EnterprisePriced on request

Axelium pricing →

EvidenceGrid AI

  • FreeFree

EvidenceGrid AI pricing →

In their own words

Axelium

Axelium is an AI-assisted platform for systematic reviews and meta-analyses, spanning evidence search, screening, analysis, reporting, and living reviews. Its 11 stages include protocol, search, screening, full-text review, extraction, RoB 2.0, GRADE, statistics, network meta-analysis, reporting, and living reviews. The maker says AI extracts structured values while deterministic code calculates statistics, and data points link to snippets in original PDFs. Listed methods include pairwise and network synthesis, Cochrane RoB 2.0, GRADE certainty ratings, CERQual, and PRISMA-style reporting. It imports references from tools and databases including EndNote, Zotero, PubMed, ClinicalTrials.gov, and Web of Science; exports include DOCX, XLSX, RIS, BibTeX, and RevMan. Team controls include roles, comments, dual-person sign-off, conflict adjudication, and versioned audit snapshots. A free plan includes one lifetime review and one seat; Researcher costs $29 a month. Human validation is needed for screening suggestions, extracted values, risk-of-bias assessments, and draft reports. Recurring statistical refresh for living-review network meta-analysis is paused, though scheduled cycles can import, screen, and extract new evidence.

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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.

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