MadeAi-LR
An AI Platform for Systematic Literature Review
Fast, Trusted, AI-Powered Evidence Generation
MadeAi-LR is an AI-powered literature review platform to streamline evidence synthesis for HEOR, Medical Affairs, Market Access, and RWE in life sciences. Cut review time in half without compromising quality with award-winning MadeAi-LR.
The MadeAi-LR Difference
1
Central Collaboration Platform
60%
Time Savings per Literature Review
90+%
Accuracy
96%
Traceability
100%
Customer Satisfaction
AI-Native Literature Reviews for Fast, Transparent, and Submission-Ready Evidence in Life Sciences
MadeAi-LR: AI-powered platform for end-to-end systematic literature reviews, from protocol to submission-ready output. Built for life sciences teams, it replaces fragmented tools with a single, traceable workflow that accelerates timelines while maintaining scientific rigor.
The result: Faster reviews, full transparency, and compliant, high-quality evidence for HEOR, Medical Affairs, Market Access, and Regulatory teams powered by AI-assisted literature review services.
Award-Winning End-to-End Efficiency for Literature Reviews
Faster Reviews
Accelerates literature reviews by 40-60%, reducing timelines from months to weeks.
End-to-End Workflow
One unified platform from protocol design through submission-ready outputs, eliminating fragmented tools.
Regulatory-Grade Quality
Delivers traceable, auditable, PRISMA-aligned outputs suitable for HTA, regulatory, and publication use.
AI + Human Accuracy
Combines AI automation with expert validation for high-accuracy screening, extraction, and synthesis.
Full Transparency & Control
Provides complete source traceability, decision rationale, and visibility for confident, defensible evidence.
Choose the Right Engagement Model
Do-It-Yourself
Software as a Service
Done-For-You
Hybrid : Software + SME
Build–Operate–Transfer
Customized Version
Choose which option or combination of support models works best for your business.
Case Studies & Scientific Research
Ready to see AI tools for literature review in action?
MadeAi-LR is an AI-Powered, expert validated literature review solution built for life sciences teams, designed to transform complex evidence workflows into structured, regulatory-ready outputs.
FAQ
An AI-native literature review reimagines evidence synthesis with AI embedded at every step—from protocol design to submission-ready outputs—rather than bolted onto legacy workflows. Powered by domain-specific, multi-model agents with human-in-the-loop oversight, it delivers transparent, explainable, and highly accurate results. MadeAi-LR brings this vision to life through a unified, audit-ready platform built for HEOR, Medical Affairs, and Regulatory teams.
MadeAi-LR supports Market Access teams by delivering traceable, regulatory-compliant evidence synthesis in one central platform. It accelerates the creation of high-quality materials for pricing and reimbursement decisions, achieving 96% traceability and up to 60% time savings compared with traditional fragmented workflows.
AI-powered MadeAi literature review platform provides 40–60% faster timelines, 90% accuracy, and full transparency for HEOR teams. They replace multiple disconnected tools with a single traceable workflow, producing submission-ready outputs that maintain scientific rigor for real-world evidence generation.
MadeAi-LR saves 57% overall time, reducing a typical 1,027-hour traditional literature review to just 441.9 hours. This comes from 1.8 hours of AI processing plus 440.08 hours of human validation, delivering measurable efficiency gains without compromising quality or compliance.
Traceability is essential in Real-World Evidence (RWE) literature reviews to create auditable, defensible outputs accepted by regulators and HTA bodies. MadeAi achieves 96% traceability by documenting every AI decision, source extraction, and synthesis step, giving teams complete confidence in their evidence.
MadeAi ensures regulatory-grade quality by producing PRISMA-aligned, auditable outputs designed specifically for HTA, regulatory, and publication use. It combines AI automation with expert human validation for high-accuracy screening, extraction, and synthesis that meets life sciences compliance standards.
AI-native literature reviews help create Value Dossiers by streamlining fragmented processes into one traceable platform that generates compliant evidence quickly. MadeAi platform produces submission-ready outputs ideal for Pricing and Reimbursement strategies, supporting Pharmaceutical Market Access teams with transparent, high-quality data.
MadeAi accelerates systematic literature reviews for RWE studies by reducing timelines from months to weeks through automated yet transparent workflows. It achieves 90% accuracy and PRISMA compliance while maintaining full human oversight, enabling faster real-world evidence generation for Medical Affairs and regulatory teams.
