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SPECIFICTION
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Nested Knowledge vs RobotReviewer

Nested Knowledge

nested-knowledge.com

RobotReviewer

robotreviewer.net

Side by side

FigureNested KnowledgeRobotReviewer
Price from$19.95/moFree
Free plan—Yes
Free trialYes—
Open source—Yes
WebYesYes
Windows—Yes
macOS—Yes
Linux—Yes
API—Yes
Self-hosted—Yes
Plans published62
Spec score · AI Literature Review Software7.6 (#23)8.4 (#6)
IntegrationsListed integrations include Embase, CCC RightFind, Article Galaxy, and scite; most organization-configured integrations require the customer’s own provider license or credentials.The self-hosted setup uses Grobid for document processing, RabbitMQ and Celery for worker processing, and SciBERT through bert-as-a-service.
PurposeNested Knowledge is a systematic review and evidence synthesis platform for searching, screening, extracting data, critical appraisal, and sharing results.RobotReviewer automatically annotates clinical trial PDFs with PICO characteristics and likely bias assessments using the Cochrane Risk of Bias tool.
SupportThe maker directs users to its support page or [email protected] for technical issues.The project directs users to an email address for questions and integration assistance.

Plans

Nested Knowledge

  • Academic$19.95 a month
  • Academic+$69.95 a month
  • Business Essentials$295 a month
  • Enterprise$695 a month
  • Enterprise PlusPriced on request
  • InstitutionalPriced on request

Nested Knowledge pricing →

RobotReviewer

  • FreeFree
  • FreeFree

RobotReviewer pricing →

In their own words

Nested Knowledge

Nested Knowledge has no write-up on Specifiction yet; its figures are above.

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RobotReviewer

RobotReviewer analyzes clinical trial reports by annotating PDFs with PICO characteristics and likely bias assessments using the Cochrane Risk of Bias tool. Uploading PDFs on the website extracts key data and presents a summary table. Its REST API can process groups of clinical trial reports to synthesize results across trials. The project is open source under GNU GPL version 3.0 and is free to use. It can run locally as Docker services, with a web app and API server exposed on local ports. The self-hosted processing setup uses Grobid, RabbitMQ, Celery, and SciBERT through bert-as-a-service. Docker instructions cover GPU use, and the worker can also run CPU-only. Manual setup calls for Python 3.6, TensorFlow 1.12.0, and the associated processing services. Installation is documented as tested on Ubuntu and Mac OS; Windows works with substantial installation difficulty. Maintainers ask users to cite the 2017 ACL paper and invite questions by email, including requests for help integrating RobotReviewer into other software.

Visit robotreviewer.net