AI-Powered Targeted Literature Review

Perform a targeted literature review in minutes.

ActiveTLR’s AI-powered platform helps pharma, biotech and CRO teams identify relevant evidence in hours.

ActiveTLR is designed by literature review experts in collaboration with AI specialists and an in-house development and programming team.

How it works

From search design to written summary, ActiveTLR handles the heavy lifting

ActiveTLR breaks every targeted literature review into discrete, transparent steps. At each stage, you have the opportunity to review and edit before moving on, keeping you in control throughout.

  1. Step 1

    Ask the question

    Type your question and ActiveTLR maps it to the correct framework - PICOS, PICOC, PFO, PEO, or CoCoPop.

  2. Step 2

    Search strategy

    ActiveTLR designs PubMed searches for your review, then runs and imports them once you approve.

  3. Step 3

    Deduplication

    Add references from other databases like Embase or PubMed, and ActiveTLR removes duplicates across all of them in seconds.

  4. Step 4

    Screening & articles

    Run AI screening with accuracy that can exceed a human reviewer, then automatically locate free full-text.

  5. Step 5

    Data extraction

    Bring your own extraction template or build one inside ActiveTLR, and let the AI handle the first pass - every field stays yours to edit.

  6. Step 6

    Evidence synthesis

    Auto-generate a narrative summary with supporting tables. Every edit - manual or AI-assisted - is versioned, so you can track and roll back changes.

Audit & transparency

A complete audit trail across every step of every project

  • Detailed methods summaries

  • Inclusion / exclusion decision justifications

  • Study selection flow diagrams

Average time for a targeted evidence search
3–4 weeksManual review
4–8 hoursWith ActiveTLR
Platform features

Built for precision. Designed for speed.

Every capability keeps a human reviewer in control, with a transparent rationale you can inspect at each step.

Precision AI retrieval

Go beyond keywords. ActiveTLR understands clinical concepts, MeSH terms, and study design - surfacing papers a keyword search would miss.

Framework-aware query structuring

  • Interprets the intent and structure of your research question, not just its surface terms
  • Aligns searches to established evidence frameworks including PICO, CoCoPop, PEO, and PFO
  • Retrieves articles that are genuinely relevant to your clinical question
  • Locating high-value evidence that conventional search engines typically overlook

Cross-database deduplication

Automatically identifies and flags duplicate records across multiple database sources before screening begins.

  • AI comparison of titles, authors, journals, and metadata
  • Each unique study is screened only once

AI screening & full-text retrieval

Screen thousands of citations in minutes with transparent, criteria-based decisions you can review and override.

  • Decisions you can directly edit
  • Full texts of your Includes set retrieved and organised

AI-driven data extraction

Pull structured data from every included study into your extraction templates - AI-generated and fully editable.

  • Use your own extraction fields or build a template inside ActiveTLR
  • Every extracted value traceable to its source in the full text

Team workspaces & folders

Organise searches by project or indication. Invite collaborators, share saved searches, and track version history.

  • Seamless collaboration with colleagues
  • Clear documentation accessible across the team
Use cases

When would I use ActiveTLR?

A few examples of how teams reach for ActiveTLR at the start of their evidence work.

Market Access Director

First-line therapy in Huntington’s Disease

You need to quickly understand the market across possible disease areas. ActiveTLR identifies the major trials, collates key outcomes, and summarises reported results - so you begin with a map of the evidence, not a blank page.

Researcher

Lung cancer in never-smokers

A paper claims incidence among never-smokers is climbing. ActiveTLR lays out which populations and exposures have been studied, surfaces recurring themes, and shows where the evidence thins out - turning broad curiosity into sharp questions.

Oncology Fellow

Biomarkers for survival outcomes in advanced cancer

Wondering which biomarkers predict survival, you use ActiveTLR as your launchpad. It gathers the prognostic studies, shows where findings converge and clash, and reveals which markers are established versus still contested.

Health Economist

Economic evaluations in Alzheimer’s Disease

Preparing an early economic model in an unfamiliar area, you search for only the most recent cost-effectiveness publications to understand modelling precedents and help conceptualise your own model.

Analyst

Screening uptake and outcome disparities

Tackling disparities in mammography access, you use ActiveTLR to see where the evidence points: which populations have been studied, what factors keep recurring, and where the gaps are.

Pricing

Simple, transparent pricing.

Start in minutes — no database credentials or IT integration needed.

Most popular

Monthly

$399/ user / month

For medical affairs teams, CROs, and MSL departments managing multiple therapeutic areas.

Start search
  • Unlimited searches
  • Up to 20,000 results per search
  • Evidence hierarchy ranking
  • Team workspaces & folders
  • PRISMA-ready output
  • Priority support (24h SLA)

Enterprise

Custom

For pharma, biotech, and health authorities with compliance, volume, and API integration needs.

Talk to sales
  • Unlimited scale
  • API access + SSO
  • HIPAA / data residency
  • Dedicated success manager
  • Custom therapeutic-area models
  • 4h SLA + onboarding
FAQs

Questions we hear most.

Everything teams ask before their first targeted review — from how the AI is kept honest to what you can export.

Getting started

Whether ActiveTLR fits your work — and how quickly your team can start.

No. Other tools are mainly built for performing systematic reviews (though you can often bend their functionality toward a targeted review). ActiveTLR is purpose-built for non-systematic, targeted searches — where you need rapid answers you can trust, but don't need an exhaustive review of the entire evidence base.

How the review works

From your question to a screened set — and the control you keep at each step.

Trust & accuracy

How findings stay auditable, grounded, and safe to rely on.

Data & exports

Bringing in other databases, and getting submission-ready outputs back out.

Plans & customization

Pricing for teams, and tailoring ActiveTLR to how your organization works.

Still have a question?

Talk to the team behind ActiveTLR — we'll walk you through your first targeted review.

Get in touch

Ready to run your first targeted search?

Set-up takes under 5 minutes. No database credentials or IT integration needed.

Start search

Not sure if ActiveTLR is right for you? Speak to our evidence specialists, or request a free live demo.