Case Study: a largest biotech company slashes experimental costs by 60% with Persistent Systems and Google Cloud

Google Cloud Storage and BigQuery help a multinational healthcare firm slash experimental costs by 60%

Persistent Systems helped a largest biotech company address a slow, manual lab workflow that limited scale and drove up experimental costs. The company’s legacy systems required heavy manual intervention, making each experiment take about two weeks and involving 20 scientists, while a shortage of medical writers also delayed clinical protocol drafting and increased compliance risk.

Persistent Systems built an automated platform on Google Cloud Platform using Cloud Storage, BigQuery, and other Google services to streamline lab operations, process data in real time, and power an AI-based protocol generator called AiScribe. The solution reduced experimental costs by 60%, increased weekly experiment capacity from 80 to 10,000, improved protocol authoring speed by 60%, and raised citation quality by 40%.