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Description

ScholarIQ is an online AI-powered research assistant designed to facilitate the search and analysis of scientific literature. It allows researchers to ask questions, access records from databases such as OpenAlex, ORCID, and PubMed, or even upload their own search results and source documents. The platform evaluates articles based on specific review criteria, enhances citation-based discovery through snowballing techniques, and aids users in efficiently screening records, highlighting pertinent excerpts, and extracting desired information from uploaded materials. Furthermore, it provides answers and suggested values that are linked to their respective citations, ensuring that reviewers maintain authority over decisions regarding inclusion, risk-of-bias assessments, and overall conclusions. ScholarIQ meticulously documents reviewer identities, rationale for decisions, and relevant excerpts to ensure that the review process is transparent and accountable. Additionally, it features a public research metadata atlas that connects various papers, researchers, journals, institutions, and topics, thereby fostering a more interconnected research environment. This platform is invaluable for both individual researchers and review teams engaged in thorough literature searches, evidence screening, and the execution of systematic reviews, making the research process more efficient and reliable.

Description

Moara transforms how researchers organize, review, and synthesize academic literature by combining intuitive workflows with advanced AI assistance. Built by librarians and researchers, it guides users through every phase of a systematic or narrative review, from paper collection to synthesis. Users can import citations and PDFs, integrate with Zotero and LibKey, and automatically extract metadata from millions of scholarly sources. Moara’s AI tools simplify triage, tagging, inclusion/exclusion decisions, and even assist in capturing and organizing key findings from full-text articles. Its collaborative workspace allows multiple reviewers to work simultaneously, assigning roles and tracking review progress in real time. Researchers can annotate PDFs, highlight evidence, and transform insights into structured data for synthesis and reporting. The platform also ensures data consistency and transparency, following librarian-recommended standards for reproducible research. With its user-friendly interface and robust integrations, Moara helps scholars save hours of manual work and elevate the quality of their academic output.

API Access

Has API Yes 

API Access

Has API No 

Screenshots View All

Screenshots View All

No images available

Integrations

Model Context Protocol (MCP) Yes 

Integrations

Model Context Protocol (MCP) No 

Pricing Details

$29/month
Free Trial Yes 
Free Version No 

Pricing Details

$25/month
Free Trial Yes 
Free Version No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support No 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Types of Training

Training Docs No 
Webinars No 
Live Training (Online) No 
In Person No 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person No 

Vendor Details

Company Name

ScholarIQ

Founded

2002

Country

United States

Website

scholariq.org

Vendor Details

Company Name

moara.io

Founded

2024

Country

United States

Website

www.moara.io

Product Features

Product Features

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