From Literature Search to Submission-Ready Evidence
Laser AI transforms unstructured research into structured, FAIR-compliant evidence across your R&D organization.
Pharmaceutical companies generate vast evidence across the drug development lifecycle - from preclinical research through regulatory submissions, HEOR, and pharmacovigilance. The challenge is not a shortage of data: most remains unstructured, siloed, and inconsistently described. A failure to make research data FAIR costs the European economy an estimated €10.2 billion annually.
Laser AI is built around your needs
Key Metrics
Up to 45% reduction in screening time; up to 50% reduction in extraction time; ~20% overall project efficiency gain
70% time reduction - AI prioritization means fewer references need manual review to achieve 95% sensitivity
Up to 50% reduction in extraction time
Output coded to controlled vocabularies; RIS, CSV, XLSX, JSON export; FAIR-compliant from creation
SuperDeduper: 95% sensitivity, 100% specificity - zero lost references
Full audit trail; PRISMA/Cochrane compliant; human-in-the-loop throughout
How Laser AI %supports% pharmaceutical companies
Structured Evidence Extraction - FAIR by Design
Laser AI uses an agentic AI framework grounded in your enterprise ontologies and controlled vocabularies (UMLS, MeSH, SNOMED-CT compatible) to extract structured, analysis-ready data from scientific literature. Extracted knowledge is reusable across projects and teams, eliminating redundant work and building a cumulative enterprise knowledge asset over time.
Reusable Libraries Across the Organization
Define screening guides, extraction forms, and controlled vocabularies once at the organizational level and share them across all projects. Project leads configure project-specific subsets so extractors see only what is relevant, reducing errors and accelerating onboarding.
One Platform Across the Evidence Lifecycle
Laser AI supports the full evidence workflow in a single platform across target identification, regulatory submissions, market access, and pharmacovigilance. AI prioritisation, dual screening, conflict resolution, and full decision traceability are built in, with organisation-level project management and role-based access control across teams.
Template-Driven Workflows
The platform offers customizable templates tailored to specific use cases and submission requirements, delivering faster, more consistent, submission-ready reviews and a reusable literature knowledge base across teams and submission types.
Enterprise Integration
Built for integration into existing data ecosystems. Connects to central data stewardship systems, synchronizes corporate ontologies, and exports structured data into cloud warehouses and BI tools, transforming scientific literature into FAIR-compliant data assets for cross-functional analytics.
Human-in-the-Loop Data Governance
Every AI suggestion is reviewable, every decision is traceable, and every final determination remains with your methodologists. Full compliance with PRISMA and Cochrane reporting standards ensures outputs are regulator-ready and scientifically defensible.
TRUSTED BY LEADING PHARMACEUTICAL & RESEARCH ORGANIZATIONS
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Flexible plans designed for teams and projects of every size.