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What is moara?

Moara is an all-in-one, AI-enabled research platform built to modernize the systematic and narrative review process for academics, librarians, and research teams. It simplifies literature discovery, screening, and evidence extraction through automated workflows and seamless integrations with popular academic tools. Researchers can import papers from Zotero, citation files, and PDFs, or search within a database of over 200 million papers—with AI automatically extracting metadata and enriching it for organized review. During the triage phase, users can categorize papers by inclusion status, assign them to co-reviewers, and tag findings or themes. Moara’s annotation tools make it easy to highlight text, capture evidence, and build structured summaries that can be exported for synthesis. Collaborative features enable multiple reviewers to work concurrently, track screening progress, and ensure quality control throughout the review lifecycle. Its integration with LibKey provides instant access to full-text articles using institutional subscriptions, reducing time spent on sourcing PDFs. Designed to adhere to librarian-led best practices, Moara ensures transparency, reproducibility, and compliance with academic standards. The platform’s AI insights help identify gaps in literature, surface relevant connections, and accelerate data-driven research outcomes. For research teams seeking a faster, smarter, and more organized way to conduct reviews, Moara delivers the perfect balance of automation, collaboration, and academic rigor.

What is ScholarIQ?

ScholarIQ is an innovative online research assistant powered by AI, aimed at simplifying the exploration and examination of scientific literature. It enables researchers to pose inquiries, retrieve documents from a variety of databases like OpenAlex, ORCID, and PubMed, and even import their own search results and source materials. The platform assesses articles according to defined review standards, boosts citation-based exploration through snowballing methods, and supports users in efficiently sifting through records, emphasizing relevant excerpts, and extracting needed information from uploaded files. In addition, it offers responses and suggested values that correspond to their respective citations, ensuring that reviewers retain control over decisions related to inclusion, bias assessments, and final conclusions. ScholarIQ diligently records the identities of reviewers, the justifications for their decisions, and pertinent excerpts to guarantee transparency and accountability within the review process. The tool also includes a public research metadata atlas that links various papers, researchers, journals, institutions, and topics, thereby promoting a more integrated research landscape. This comprehensive platform serves as an essential resource for both independent researchers and review teams engaged in extensive literature searches, evidence screening, and the implementation of systematic reviews, ultimately streamlining the research journey and enhancing its reliability and effectiveness. By improving collaboration and resource sharing, ScholarIQ plays a crucial role in advancing research endeavors across various scientific disciplines.

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Media

Integrations Supported

Integrations Supported

Model Context Protocol (MCP)

API Availability

API Availability

Has API

Pricing Information

$25/month
Free Trial Offered?

Pricing Information

$29/month
Free Trial Offered?

Supported Platforms

SaaS

Supported Platforms

SaaS

Customer Service / Support

Web-Based Support

Customer Service / Support

Not specified

Training Options

Documentation Hub

Training Options

Not specified

Company Facts

Organization Name

moara.io

Date Founded

2024

Company Location

United States

Company Website

www.moara.io

Company Facts

Organization Name

ScholarIQ

Date Founded

2002

Company Location

United States

Company Website

scholariq.org

Categories and Features

AI Research Tools

Not specified

Categories and Features

AI Research Tools

Not specified

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