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Accelerating Evidence

Made for reviewers by reviewers

ActiveSLR® is bespoke and entirely free literature review management software, that supports reviewers throughout the screening and data extraction process. With a focus on ease of use, and optional AI functionality throughout, ActiveSLR® helps you get to meaningful evidence and data insights as efficiently as possible

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ActiveSLR® empowers research teams with

efficiency, precision, transparency, and audit-ready methods.

Simplifying Tasks
Unlock the full power of AI-assisted literature review management
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Customizable forms and processes

Design and develop bespoke screening exclusion criteria and data extraction tables, or use existing templates. Tailor each ActiveSLR® project according to the literature review process requirements

Smooth free full-text procurement

Automatically identify freely-available full texts and prepare full text order lists with ease

Invite and collaborate

Manage access and visibility to your reviews on a project-by-project level, ensuring confidentiality. No restrictions according to ActiveSLR® account type – collaborate with people across organizations

Your evidence repository

Clear visibility on literature review progress throughout the project, and options to prepare outputs or export at any time

AI functionality when needed

Identify more duplicates and reduce the rate of false positives, color-coded text highlighting according to PICOS, auto-generate draft PICOS and more

Immediate efficiency

Ease of setup and screening layout means PharmaQuant projects are up to twice as efficient compared to projects before ActiveSLR®. How much time can you save?

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Start your ActiveSLR® journey – For FREE!

Get your free ActiveSLR® access today

Experience the full power of structured, AI-assisted screening
— no commitments, just better decisions.

Get Started
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Explorer

Are you a student, independent researcher, or just curious to explore how your literature reviews can be fast-tracked? Sign up for an individual account and dive right in — instant, no-cost access to the app. No hoops, no hassle.

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Free forever, Access Instantly

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Reviews with 2,000 citations

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2 active reviews

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Max. 3 users

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Proprietary duplicate removal with ~100% accuracy

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Screening

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AI-driven PICO

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Keyword highlight

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Auto reconciliation

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Auto-fetch free full-texts

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Data extraction

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Email support

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Monitor and manage users

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Multiple teams and roles management

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GPU access for faster AI execution

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Webinars

Scholar

Scholar accounts offer research institutions, including universities, the opportunity to perform as many parallel projects, with as many collaborators, as needed. Simply sign the licensing agreement and we will perform a brief email verification, confirming that your email address is associated with the stated research institute.

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Free forever*Subject to identity verification

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Reviews with unlimited citations

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Unlimited active reviews

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Unlimited users

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Proprietary duplicate removal with ~100% accuracy

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Screening

Checkmark

AI-driven PICO

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Keyword highlight

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Auto reconciliation

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Auto-fetch free full-texts

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Data extraction

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Email support

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Monitor and manage users

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Multiple teams and roles management

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GPU access for faster AI execution

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Webinars

Corporate

Any commercial organization is welcome to use ActiveSLR’s®  full functionality and industry-leading interface for free. Sign the licensing agreement, let us verify your email address and see how much ActiveSLR® can improve your literature review efficiency.

Sign Up

Free forever*Subject to identity verification

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Reviews with unlimited citations

Checkmark

Unlimited active reviews

Checkmark

Unlimited users

Checkmark

Proprietary duplicate removal with ~100% accuracy

Checkmark

Screening

Checkmark

AI-driven PICO

Checkmark

Keyword highlight

Checkmark

Auto reconciliation

Checkmark

Auto-fetch free full-texts

Checkmark

Data extraction

Checkmark

Email support

Checkmark

Monitor and manage users

Checkmark

Multiple teams and roles management

Checkmark

GPU access for faster AI execution

Checkmark

Webinars