AI-Powered Expert Services

AI-Powered Expert Services combine advanced AI technology with experienced life science specialists. While AI accelerates screening and data extraction, domain experts guide the AI, validate outputs, and apply critical scientific judgment. You get both the speed of AI and the confidence of human oversight from professionals who’ve delivered hundreds of successful literature reviews and GVDs.

You have complete flexibility. MadeAi offers scalable engagement models ranging from standalone SaaS platform access (where your internal team drives everything) to full-service delivery (where our experts manage the entire end-to-end workflow), or a hybrid approach. The model adapts to your capacity, expertise, and timeline needs, not the other way around.

Human-in-the-loop means that while AI handles the heavy lifting of screening thousands of articles or extracting data points, experienced reviewers validate AI decisions at strategic checkpoints throughout the process. For example, after AI screens title and abstracts, our experts review edge cases, conflicting signals, or studies flagged for human verification. This ensures the scientific rigor and judgment that regulators and publishers expect while still capturing the efficiency gains AI provides.

Our AI-Powered Expert Services team brings deep therapeutic expertise across oncology, rare diseases, cardiology, neurology, and numerous other areas. More importantly, they have extensive hands-on experience in literature review execution, GVD development, and AI content synthesis. These aren’t generalists learning on your project, but they’re specialists who understand PRISMA guidelines, HTA requirements, and the intricacies of evidence synthesis for regulatory submissions. Their experience is what enables the 40-60% timeline reductions while maintaining submission-ready quality.

The team covers a broad spectrum, including oncology, rare diseases, cardiology, neurology, immunology, infectious diseases, metabolic disorders, and more. Because the experts understand both the AI platform and domain-specific evidence requirements, they can adapt quickly to different therapeutic contexts. Whether you’re working on a common condition with vast literature or a rare disease with sparse evidence, the team knows how to optimize search strategies and extraction protocols for your specific situation.

Absolutely. Protocol development is where many projects stumble, and it’s one of the most valuable services the team provides. Our specialists collaborate with you to define search strategies, inclusion/exclusion criteria, data extraction frameworks, and tagging logic precisely aligned with your objectives. They bring experience from hundreds of protocols across different therapeutic areas and study types, systematic literature reviews, network meta-analyses, real-world evidence reviews, targeted literature reviews, and more. This front-end investment in protocol design prevents costly mid-project pivots.

We can execute your entire workflow: database searches, deduplication, screening, full-text review, data extraction, and evidence synthesis. You maintain strategic oversight while we handle time-intensive execution. This is popular with HEOR or medical affairs teams who design research but lack implementation bandwidth

Our team is specifically versed in submission-ready requirements for PRISMA, GVD, Joint Clinical Assessment (JCA), and HTA standards. They build compliance into the workflow from the start—proper documentation, transparent decision trails, audit-ready tracking, and outputs formatted to agency expectations. This expertise prevents the common scenario where teams finish a review only to discover their documentation doesn’t meet submission requirements.

Every decision is documented with a clear rationale and source traceability. If regulators ask why a study was included or where the data comes from, you have a complete audit trail. The MadeAi platform captures this automatically, meeting the rigor expected for FDA, EMA, or HTA submissions.

MadeAi’s expert services cut systematic literature review timelines by 40-60% compared to traditional manual approaches. A review that typically takes 6 months might be completed in 3-4 months. Acceleration comes from AI-optimized workflows, expert efficiency, and avoiding common pitfalls that cause delays, such as protocol revisions, quality issues, or late-discovered compliance gaps.

Yes, the team has experience supporting meta-analyses, network meta-analyses, real-world evidence reviews, and other complex evidence synthesis methodologies. They extract the detailed statistical data needed for quantitative synthesis, work with your biostatisticians or health economists on data specifications, and generate structured summaries that feed into modeling and comparative effectiveness analyses. This is particularly valuable for HEOR teams building health economic models or comparative evidence packages for HTA submissions.

Many clients use the expert services engagement as a learning opportunity. As the MadeAi team executes projects, your staff can observe best practices for AI-assisted literature review, understand how to prompt and validate AI outputs, and build capability for future projects. Some clients start with full-service delivery for their first review, then transition to a hybrid model or platform-only approach as their team gains confidence. The expert services team is invested in your long-term success, not just project delivery.

The MadeAi platform itself serves as the collaboration hub. Your medical affairs, HEOR, regulatory, and other stakeholders can have role-based access to track progress in real-time, leave comments, review AI decisions, and provide input at key milestones. The expert services team manages the workflow execution while keeping you connected to the process. This transparency prevents the black-box feeling that often comes with outsourced services.

Flexibility is built into the engagement model. If your clinical program generates new data, a competitor publishes relevant research, or regulatory guidance shifts, the expert services team can adapt the protocol, expand search strategies, or modify extraction frameworks accordingly. Because everything is managed within the MadeAi platform with version control and modular architecture, changes don’t require starting from scratch.

We begin with a consultation to understand your project needs, timelines, therapeutic area, and evidence use (regulatory submission, publication, etc.). Many clients start with a pilot project before expanding to multiple reviews or ongoing partnerships.