Support
Support comes through access to experienced Medical Affairs experts who help implement and evolve the tailored solution, alongside a contact form for consultations and demos.
Learn moreHuma.AI
AI and expert analysis for Medical Affairs evidence review
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What is Huma.AI?
Huma.AI is an academic research tool. A consultation-led AI analytics service for Medical and Scientific Affairs teams, combining tailored evidence analysis with expert guidance and traceable scientific deliverables.
Huma.AI, presented on the Qoniq site, is a service built for Medical and Scientific Affairs teams in the life sciences. Rather than a self-serve app, it pairs tailored AI analytics with human experts who help design and run the analytical workflows. The core promise is scale: large volumes of publications, datasets and fragmented evidence get sifted quickly so patterns and relationships that manual review would miss become visible. The output is meant to support scientific dialogue and defensible decision-making, not replace the judgment of the people reading it. In practice, a team works with Qoniq to shape a solution around its own evidence landscape. Analysts then use the system to surface connections across the literature and produce structured deliverables common in Medical Affairs, including Standard Response Letters and PRISMA reviews. Traceability matters here: insights are tied back to the supporting evidence so outputs stay interpretable and aligned with industry expectations. The human side is not decorative. Experts assist with implementation and refinement, and they help confirm that what the machine produces holds up to scientific scrutiny. The tool fits organizations that already have a body of evidence to interrogate and a reporting obligation to meet, such as pharmaceutical companies running post-marketing surveillance or medical science liaison programs. Case studies on the site describe exactly those scenarios. It is less suited to individual researchers who want a quick literature summary, since engagement runs through consultation and a demo rather than a signup form. Compared with generic research assistants, Huma.AI leans on domain expertise and customized deployment, which raises the bar for cost and onboarding but also the ceiling on what the outputs can be trusted to support.
How do you use Huma.AI?
1Review the solution overview
Read through the solution page to understand how tailored analytics, expert guidance and structured deliverables fit together before committing to a conversation.2Request a consultation
Use the contact form to describe your evidence landscape and the deliverables your team needs. This starts the scoping discussion.3Read the case studies
Two published case studies show the system applied to post-marketing surveillance and to KOL relationship management for medical science liaisons.4Scope your analytical workflow
Work with Qoniq experts to define which datasets and publication sources the analytics should draw on and what output format you expect.5Run analysis and review traceability
Once live, use the system to surface patterns across the evidence and check that each insight links back to its supporting source.6Generate reports and iterate
Produce Standard Response Letters, PRISMA reviews or other documents, then refine the workflow with expert input as needs evolve.
Pros and cons
Pros
- Combines AI analytics with access to experienced Medical Affairs professionals, not just softwareAI
- Produces standard deliverables such as Standard Response Letters and PRISMA reviewsAI
- Maintains traceability between insights and the underlying evidenceAI
- Analytical workflows are customized to the organization's own evidence needsAI
- Case studies document real deployments in post-marketing surveillance and MSL workAI
Cons
- No self-serve signup, pricing or trial details are published on the homepageAI
- Requires a consultation and custom setup, so time to value depends on scopingAI
- Built narrowly for Medical and Scientific Affairs, with little use outside life sciencesAI
- Pricing structure is opaque, which makes budget comparison with competitors difficultAI
- Relies on the vendor's experts for implementation, creating some dependencyAI
How much does Huma.AI cost?
Features
Tailored AI analytics for large evidence sets, expert-guided implementation, pattern and relationship discovery across publications and datasets, and generation of standard Medical Affairs deliverables such as Standard Response Letters and PRISMA reviews, with traceability from each insight back to its supporting evidence.
Learn moreFrequently asked questions about Huma.AI
How do you use Huma.AI?
The walkthrough on this page covers 6 steps: 1. Review the solution overview 2. Request a consultation 3. Read the case studies 4. Scope your analytical workflow 5. Run analysis and review traceability 6. Generate reports and iterate.What platforms does Huma.AI support?
Huma.AI is available on Web App.What are the limitations of Huma.AI?
No self-serve signup, pricing or trial details are published on the homepage. Requires a consultation and custom setup, so time to value depends on scoping. Built narrowly for Medical and Scientific Affairs, with little use outside life sciences.
Status
StatusActive
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Added10/21/2026
Platforms
Web App
Pricing
Paid
