AI Writing Solutions for
Pharmaceutical & Biotechnology
Companies
Medical Affairs & Clinical Teams: Save Time, Improve Quality, Cut Costs
Biotechnology and pharmaceutical Medical Affairs and Clinical teams use MACg to collaboratively and efficiently create diverse, compliant, high-quality scientific content. MACg ensures data integrity while maintaining clarity and consistency in complex communications.
How can MACg help
Medical Affairs & Clinical Teams
Medical Information (MI) department
Medical Communication department
Medical Directors & Medical Science Liaisons
Enhanced Research and Summarization
Quickly find and summarize scientific references
with AI-powered PubMed search.
Efficient Collaboration
Share references, create together, improve content generation
Effortless Localization and Translation
Target various audiences and localize content in
over 30 languages.
Consistency and Clarity
Maintain high standards in terminology, style, and
quality across documents.
Versatile Content Generation
Write medical information letters, training materials, plain language summaries, poster and presentation content, CME, research papers, summaries, abstracts, regulatory documents, protocols, and more.
Optimize Resources
Save time and focus on strategy and customer engagement. Exceed your goals.
Security and Privacy
Enterprise-level security, robust encryption, zero-data retention policy, and your data are not used to train AI models.
Life science content generation with MACg
Identify References and
ASK MACg for topic ideas
Use PubMed, curated web pages, and/or your internal data.
Try MACgTransform your scientific content creation - make MACg part of your Medical Affairs team today
Try MACg freeWhy trust MACg
Unmatched Expertise
in Life Sciences
01
With decades of Healthcare and Biotech experience from AINGENS' Founder and SMEs
01
World-class
Technology
02
We leverage state-of-the-art, sophisticated, and proven technologies
02
Enterprise-level
Security & Privacy
03
Your data remains private, your content is safeguarded and not utilized for training AI models
03