Intelligent infrastructure
for evidence-based decision making
Laser AI accelerates literature reviews with advanced automation, reusable resources, and transparent, audit-ready workflows for research teams.
Download WhitepaperFeatures of LASERÂ AI
Reference
management
The platform automatically detects, flags, and clusters potential duplicate records based on the estimated probability of duplication, offering high sensitivity and specificity.
Streamline handling of project references and PDFs with features for seamless importing, exporting, filtering, editing, and more.
Title and abstract and
full text screening
Laser AI transforms the initial literature triage into an efficient, accelerated workflow
The system ranks records by their estimated likelihood of meeting predefined inclusion criteria, ensuring the most relevant abstracts are presented to the reviewer first.
Reviewers benefit from a focus mode with customizable display settings (like font size and content highlighting), optimizing the workspace for speed and productivity.
Data extraction
Laser AI accelerates evidence synthesis by combining automation with expert oversight, ensuring high-quality, structured data ready for analysis.
The model suggests extraction values, directly linking each suggestion to its PDF source. Users retain control, accepting, editing, or rejecting any suggestion.
The module automates table detection, structure recognition, and data pulling based on user-defined mappings. This feature can reduce extraction time by up to 50%.
The platform replaces the rigid spreadsheet model with a database, enabling advanced AI functionality and ensuring knowledge is analysis-ready, reusable, and enterprise-scalable.
This core philosophy ensures that expert users oversee all critical judgments, making AI-assisted automation transparent and verifiable.
Tracking & auditing
Laser AI ensures full transparency and accountability by documenting every platform action.
Laser AI records every decision, change, and action, giving organizations full visibility and ensuring complete transparency and accountability.
A detailed history log shows all edits and updates for every record, helping teams and auditors understand exactly how decisions were made and data evolved.
The system is designed to meet stringent requirements for reproducibility and methodological rigor by ensuring expert users finalize all decisions within a transparent, verifiable process.
Collaboration and coordination
Laser AI supports collaboration through robust team management, standardized shared assets, and comprehensive review workflows.
Teams can store, manage, and reuse key resources (templates, controlled vocabularies, guides) in one central library, ensuring quality and consistency across all projects.
The platform’s flexible permission model gives project managers full control over who can view, edit, or manage information, enabling tailored access and safe external collaboration.
Clear project organization, defined roles, and integrated task management simplify complex review coordination, progress tracking, and early identification of delays or conflicts.
Built for research teams, the interface integrates collaboration features, defined roles, and embedded instructions, making it easy to coordinate complex reviews at scale.
Laser AI brings every stage of evidence synthesis (from screening through extraction) into one intelligent platform, eliminating the need for disconnected tools.
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Flexible plans designed for teams and projects of every size.