Axelium vs Moara
Axelium
axelium.aiMoara
moara.ioSide by side
| Figure | Axelium | Moara |
|---|---|---|
| Price from | $29/mo | $15/mo |
| Free plan | Yes | Yes |
| Free trial | — | Yes |
| Open source | — | — |
| Web | Yes | Yes |
| API | — | Yes |
| Plans published | 5 | 4 |
| Spec score · AI Literature Review Software | 8.3 (#8) | 8.6 (#4) |
| Audience | The site describes use for individual researchers, pharma and HEOR teams, CROs and consultancies, HTA bodies, and clinical guideline committees. | Moara says it serves academics, graduate students, librarians, research administrators, individual researchers, and library teams. |
| Integrations | It lists reference imports from EndNote, Zotero, Mendeley, Embase, and Web of Science; database sources include PubMed, ClinicalTrials.gov, EuropePMC, OpenAlex, CENTRAL, MAUDE, and ERIC. | Named integrations include Google Scholar, Semantic Scholar, Zotero, LibKey and Crossref. |
| Product | Axelium is an AI-assisted platform for systematic reviews and meta-analyses, covering evidence search through reporting and living reviews. | Moara is an AI-powered research platform for literature reviews from discovery through synthesis. |
| Support | The contact page provides [email protected] for existing users and says the team replies within 1–2 business days. | The product directs users to in-product help icons and support by email at [email protected]. |
| Workflow | Its listed 11-stage workflow includes protocol, search, screening, full-text, extraction, RoB 2.0, GRADE, statistics, network meta-analysis, reporting, and living reviews. | The platform lets researchers search, organize, screen, extract, and synthesize evidence in one workspace. |
Plans
Axelium
- FreeFree
- Researcher$29 a month
- Professional$79 a month
- Team$266 a month
- EnterprisePriced on request
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.
Moara
Moara is a web-based AI research platform for literature reviews, supporting work from discovery through evidence synthesis. Researchers can search, organize, screen, and extract evidence in one workspace, then use its Agent to summarize papers, identify themes and gaps, compare findings, and answer research requests. It supports narrative and systematic reviews, including workflows aligned with PRISMA and Cochrane guidelines. Moara says its database contains more than 200 million scholarly papers across disciplines. Users can import PDFs, RIS, NBIB, TXT, or ZIP files and connect Zotero and LibKey. Teams can assign papers, share annotations, and follow review progress in real time. The Free plan allows up to 50 papers per review library. Core is $15/mo billed annually; Pro is $40/mo billed annually. Moara states that stored data is encrypted with AES-256 and data in transit with TLS 1.2 or higher, with internal access controls and role-based permissions. It says it does not sell personal data or use personal information for advertising.