AI-assisted screening
Prioritize and highlight relevant studies during title and abstract screening.
Speed up systematic review screening and data extraction with AI-assisted evidence synthesis software.
Laser AI is an evidence synthesis platform that helps research teams run systematic and literature reviews. It uses machine learning to support title and abstract screening, keyword highlighting, deduplication, conflict resolution, and structured data extraction from full-text studies, with customizable extraction fields and an audit trail. Researchers, academic teams, pharmaceutical and health technology assessment groups, and students use Laser AI to collaborate on reviews and reduce the time spent on screening and extraction.
Yuan Z.
Scientist
“Liked the project collaboration tools, including role assignment, permissions, and progress tracking, plus timely support. Found it not very mobile-friendly and some settings hard to reverse once work starts.”
Aswath S.
Student
“Liked the clearly mapped workflow steps, simple troubleshooting, and prompt team responses. Found that few AI models could read legal case documents and uploading references and PDFs separately was unclear.”
Anna T.
Student
“Liked how included and excluded items are clearly separated by category. Found that results load slowly when working with larger datasets.”
Daniela O.
Researcher
“Liked selecting studies with key terms highlighted along with possible exclusion terms. Found that it flags a conflict when reviewers agree on exclusion but give different reasons.”
Cintia R.
MSc, Research
“Liked the intuitive interface and collaborative features for transparent teamwork. Found that batch reference loading jumps back to the first study and wanted full dual-reviewer assignment options.”
Hector J.
Student Researcher
“Liked the easy, attractive interface, keyboard shortcuts, and full-screen study view. Found that pages often buffer and there are delays between include and exclude actions.”
Silvio B.
Professor and Researcher
“Liked the intuitive design, collaboration features, and AI-driven keyword highlighting. Found no dedicated duplicates tab, no way to edit abstracts, and occasional slowdowns or freezing.”
Natalia D.
Researcher
“Liked the simple, practical interface and AI support for data extraction. Found that it flags a discrepancy when reviewers reject an article for the same reason with different wording.”
Regulated literature reviews
Configurable workflows with audit-ready compliance
Academic systematic reviews
Widely used screening and extraction for Cochrane
Collaborative abstract screening
Free tier with AI study ranking
Complex evidence synthesis
Supports many review types and coding