Compare Clinical Data in Seconds: How Mindgram Empowers Smarter, Faster Biopharma Analysis

In a market where the difference between a breakthrough and a bust can hinge on trial design or endpoint selection, the ability to compare clinical data quickly and credibly isn’t just a convenience—it’s a competitive edge.

That’s exactly why we built Mindgram’s AI Assistant.

Designed for healthcare investors and biopharma researchers, Mindgram pulls structured and unstructured data from hundreds of sources and gives you the tools to compare clinical trial results, trial designs, therapies, and companies—side by side, in seconds.
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In the video above, we walk through a real-world use case comparing obesity drugs and their clinical data and company attributes —demonstrating how users can:

• Build custom comparison tables across multiple companies, such as Viking Therapeutics and Eli Lilly
• Analyze key differentiators like trial design, endpoints, populations, and safety profiles
• Layer in data like sales forecasts, catalysts, PDUFA timelines, and market context
• Instantly trace any datapoint back to its original source document—ideal for investment memos or audit trails
• Use the AI Assistant to surface strategic insights or summarize trial data in seconds

No more toggling between PDFs, journal articles, and Excel files. With Mindgram, you get a single, trusted environment to streamline your clinical data analysis—and back it all up with source-level transparency. In Mindgram, what used to take hours, now takes seconds.