Evidence-First AI
Workspaces for Healthcare & Life Sciences
Integrated AI platforms that help healthcare, pharmaceutical, biotech, and research teams search evidence, generate scientific content, and streamline complex workflows securely.
Explore MACg
Why Evidence-First AI
Trusted scientific evidence. Smarter AI.
General-purpose AI generates responses from what it has learned. Evidence-First AI helps healthcare and life sciences professionals create content grounded in trusted scientific evidence—improving transparency, traceability, and confidence.
AI is only as trustworthy as the evidence behind it.
- Trusted Evidence – Work from PubMed, peer-reviewed literature, and your organization's knowledge.
- Purpose-Built for Science – Designed for healthcare and life sciences workflows.
- Transparent & Traceable – Keep references connected to the content you create.
Our Flagship Product
MACg — Evidence-First AI Workspace for Healthcare & Life Sciences
AINGENS Supports
Scientific and Medical Workflows
Medical Writers & Independent Consultants
Streamline research, writing, and content development with AI for scientific workflows.
Pharma & Biotech Teams
Scale evidence-based content creation across medical affairs, publications, and scientific teams.
Researchers & Clinical Teams
Accelerate literature review, scientific writing, presentation development, and clinical decisions.
Medical Communications Agencies
Increase content capacity, improve consistency, and deliver high-quality scientific materials faster for your clients.
With MACg’s ability to integrate PubMed references directly into documents, that challenge becomes effortless. It’s more than just an AI tool—it’s an innovative platform that empowers medical writers and communicators to work smarter, not harder.
MACg by AINGENS is a next-step technology in life science content generation. From formatting grammar to complex medical/clinical summaries, I found the MACg system to be trustworthy. It is exciting to see the progression of AI in this application and the potential benefits, time savings, accuracy, and creativity, all realized in MACg.
Previously, I relied on EndNote for citation generation, but MACg takes it further by allowing me to pull, cite, store, and manage references all in one platform seamlessly integrated with PubMed. It is designed with medical writers in mind—helping gather information, providing detailed scientific prompts, suggesting and finding relevant references, retaining links, and summarizing content—all within the same dedicated workspace. On top of that, the in-built editor makes refining content simple and efficient.
I used to spend HOURS researching a single article. Drowning in PubMed rabbit holes, juggling 15+ tabs for every project, switching between multiple Google Docs and getting lost in the process. It was beyond exhausting. I was skeptical about using AI in my process after too many garbage outputs, but I gave MACg a shot anyway. I needed an article on ADHD and nutrition, so I said, “why not?”. Within minutes, I had solid research and a pretty solid first draft. After a few quick iterations, my article was publication-ready. Time savings = unmatched. What ultimately sold me: I was able to do everything in one spot…research, prompting, drafting, writing/revisions. No more 15+ tabs for one project. (and a lot fewer headaches) If you want to drastically cut your time and get quality outputs fast, try MACg.
Ready to Experience Evidence-First AI?
Resources & News
A Real-World Review of MACg for Editing, Writing, and PubMed Search
Dr. Goldina Erowele examines the transformative role of MACg, an AI platform designed for life sciences professionals. Her initial experience involved using MACg to review a draft document and integrate PubMed references, showcasing its ability to streamline research and ensure content accuracy. MACg's tools expedite the draft review process, improving tone and readability while maintaining compliance with medical standards. The platform's applications extend to creating scientific abstracts, clinical trial reports, and training materials, promising to enhance productivity and impact in medical communications.
Jan 27, 2025
Reliability of MACg for Source‑Aligned Clinical‑Trial Data Extraction: Hallucination, Accuracy, and Contextual Understanding
We evaluated MACg, a GPT–5–based writing and research assistant, for medical writing and data extraction, on five uploaded clinical‑trial PDFs (15 questions per study; 75 total). Questions on design, endpoints, efficacy, safety, limitations, and interpretation were asked one at a time, without instructions to avoid hallucinations or rely on the document. A clinician compared each answer with the source. MACg demonstrated zero hallucinations, 100% accuracy for requested data, contextual integration across sections, appropriate handling of missing information, and clinically coherent interpretation grounded in the trials, supporting its use for reliable, source‑aligned medical communication.
Feb 14, 2026
MACg vs OpenEvidence: A Case-Based Comparison for Clinical Decision Support
This is a case-based evaluation of MACg for clinical decision support using the same primary care scenarios previously used to assess OpenEvidence. Across five cases, MACg and OpenEvidence generally reached the same high-level clinical conclusions, but MACg consistently provided more specific, evidence-grounded, and operationally actionable recommendations. Its responses more often included treatment prioritization, dosing detail, monitoring considerations, alternative strategies, and case-specific reasoning. In one instance, MACg also identified an internal inconsistency in the case narrative. Overall, the evaluation suggests that MACg may offer added value by translating published evidence and guidelines into clearer, more practice-ready clinical recommendations.
Jun 14, 2026