Moara Overview
Moara is an advanced AI-powered platform specifically engineered to transform the traditional literature review process. It provides a structured, guided workflow that helps users efficiently find, organize, screen, and synthesize academic papers. By integrating artificial intelligence with librarian-led best practices, Moara supports both narrative and systematic reviews, ensuring scientific rigor and transparency. The platform connects to a vast network of scholarly databases, enabling comprehensive coverage across disciplines while filtering out unreliable content. It's built for serious researchers who require robust tools for evidence-based work and collaborative environments.
How to use Moara
Using Moara involves a streamlined, multi-step workflow. First, users can import research papers from various sources, including PDFs, citation files (RIS, BibTeX), Zotero collections, or by searching Moara's extensive database of over 200 million papers. Once imported, the platform automatically extracts and enriches metadata using AI, organizing the library. Next, users triage and screen papers, making inclusion/exclusion decisions, adding tags, notes, and assigning tasks to collaborators. For in-depth analysis, users can highlight passages, add comments, and capture evidence directly from full-text PDFs, creating a usable evidence list. Finally, Moara facilitates collaboration, allowing co-reviewers to track progress and contribute, and uses AI to synthesize insights, grounding every output in the original literature.
Core Features of Moara
- AI-powered search and import from 200M+ papers across scholarly databases (Semantic Scholar, PubMed, Google Scholar, arXiv, etc.)
- Import PDFs, citation files (RIS, BibTeX), and integrate with Zotero and LibKey for full-text access
- Automatic metadata extraction and AI enrichment for organized libraries
- Guided workflows for narrative and systematic reviews, following librarian-led best practices
- Efficient triage and screening with tagging, notes, assignment, and inclusion/exclusion decisions
- Full-text annotation, evidence capture, and creation of structured evidence lists
- Seamless team collaboration with co-reviewer invitation, paper assignment, and progress tracking
- AI guidance and execution for search strategies and advanced screening with criteria mapping (Pro plan)
- AI-powered synthesis of insights, traceable back to original sources
- PRISMA-based workflow and automation, custom criteria, dual reviewers, and conflict resolution (Pro plan)
- Structured data extraction and evidence tables (Pro plan)
- Export capabilities to Excel, Word, and PRISMA formats (Pro plan)
- Enterprise features like SSO, custom integrations/APIs, advanced analytics, and dedicated support (Institution plan)
Use Cases for Moara
Moara is ideal for a wide range of academic and professional research activities. It is perfectly suited for graduate students conducting thesis or dissertation literature reviews, ensuring rigor and efficiency. Academic researchers can leverage it for systematic reviews, meta-analyses, and grant proposal preparation, where comprehensive and transparent evidence synthesis is critical. Librarians and research administrators can use Moara to support institutional research, manage team projects, and provide structured tools for their communities. R&D teams in industry can streamline competitive landscape analysis and evidence-based decision-making. Essentially, any individual or team involved in extensive literature review and synthesis will find Moara invaluable for enhancing productivity and scientific integrity.
Advantages of Moara
Moara offers several distinct advantages over traditional research methods and other AI tools. Unlike chatbots, it supports the entire research workflow, providing structured insights rather than simple summaries. Its AI capabilities are designed to augment, not replace, human expertise, ensuring that all AI outputs are grounded in verifiable literature. The platform promotes scientific rigor through guided workflows and transparent processes, making research more reproducible. Seamless collaboration features enhance team productivity and consistency. Furthermore, its extensive integration with scholarly databases and tools like Zotero and LibKey centralizes resources, eliminating the need for multiple disconnected tools. The tiered pricing structure, including a free trial, makes it accessible to individuals and scalable for large institutions.
Pricing and Plans
Moara offers flexible pricing plans to suit different user needs, with options for monthly or annual billing. A 7-day free trial is available without requiring credit card information.
- Core Plan: Priced at $25/month or $250/year. This plan is designed for narrative reviews and exploratory research. It includes search and import from 200M+ papers, PDF upload and organization, AI-powered metadata extraction, team collaboration, full-text annotation, evidence capture, Zotero and LibKey integrations, and AI-powered synthesis.
- Pro Plan: Priced at $45/month or $450/year. This popular plan is tailored for narrative and systematic reviews. It includes all features of the Core plan, plus PRISMA-based workflow and automation, custom inclusion/exclusion criteria and templates, dual reviewers and conflict resolution logic, AI guidance and execution for search strategy, advanced screening with AI criteria mapping, structured data extraction and evidence tables, and export to Excel/Word/PRISMA formats.
- Institution Plan: Custom pricing is available for universities, research labs, and organizations. This comprehensive plan includes all Pro features, along with a dedicated account manager, custom integrations and APIs, advanced analytics and reporting, SSO and enterprise security, training and onboarding support, SLA guarantees, and custom data retention policies. Contact sales for more details.
Moara FAQ
Traffic
Latest traffic
Status
Monthly traffic trend
- 2026-1: 4.5K
- 2026-2: 2.7K
- 2026-3: 3.0K
- 2026-4: 7.0K
- 2026-5: 9.5K
Geography
Top 5 countries / regions
- 🇺🇸United States33.0%
- 🇮🇳India25.6%
- 🇹🇷Türkiye14.6%
- 🇬🇧United Kingdom13.4%
- 🇧🇷Brazil13.3%
Traffic sources
| Source type | Percentage |
|---|---|
Direct | 84.8% |
Referral | 14.0% |
Email | 1.1% |
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