WhizAI understands the way you talk, think, work and use analytics. It’s pre-trained on life science data so you don’t need technical knowledge, specialized IT support, or complex software to use it. You don’t need to memorize search queries either. WhizAI uses NLP. See it yourself.
Because our machine learning models are pre-trained on life science data, WhizAl spots patterns and opportunities while it runs full analysis. This reveals the kind of competitive insights that would take thousands of hours to uncover. You can use our ML models or bring your own and tap into the power of WhizAl.
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WhizAl is not a search database. You don’t need to memorize keyword-packed queries or repeat the same search string to use it. It doesn’t gatekeep analytics from non-tech users. That’s because WhizAl uses natural language processing to understand what you’re asking and make the calculations needed to answer on the fly. It’s a true NLP for Pharma that gives you personalized analytics for the modern world. Instantly .
Forget about static, cumbersome dashboards. With WhizAI, you can automate your high-end analytics process by generating dashboards on the fly. This reduces TCO, creates agility and lets your technical teams focus on the tasks that need the human touch. (Without wasting time training every one on redundant processes.)
See how data and AI insights can improve the performance of the different teams in your life sciences organization.
Understand clinical operations data quality at a glance. Monitor clinical trials. Forecast enrollment issues. Manage your budget.
Ask specific performance-based questions and get instant answers. Plan your next steps. Improve efficiency.
Connect to the data source you already use: Snowflake, Veeva, Safesforce. And get answers wherever you are: on your iPad preparing for an internal review, in the office tracking clinical operations, or on your phone as you prepare for an HCP sales meeting.
Sr. Dir Commercial Excellence
Speciality Pharma Company
Nothing beats a demonstration. (And you can ask us all your questions.)
