Dmitrii Kiselev

For a Forbes Global 2000 client, we automated the process of matching adverse event descriptions from clinical reports with standardized MedDRA vocabulary — achieving over 95% automation, including terms that specialists previously failed to map manually. Faster and more accurate processing of clinical data reduces R&D costs, accelerates regulatory submissions, and ultimately supports faster delivery of new treatments.

We developed a GenAI search platform for a major pharma company, transforming a days-long, manual research process across scientific resources into a task taking a minute. The solution accelerates drug development cycles, reduces high-value labor costs, and improves patient outcomes by ensuring critical scientific insights are captured and acted upon instantly.

In the pharmaceutical industry, delays in addressing customer feedback can pose serious risks to both patient health and corporate reputation. Our client set out to build a solution for managing and analyzing user requests.

A major pharmaceutical company needed to improve how its medical staff learned about new products. Their manual process for analyzing training tests was inefficient. We developed an AI system that pinpoints weaknesses in training materials, allowing for quick, precise improvements. The result was an increase in knowledge retention and a more efficient training process.