The U.S. Food and Drug Administration (FDA) has officially launched a new artificial intelligence platform, Elsa, which has already significantly transformed the agency’s operations. According to FDA Commissioner Marty Makary, the implementation occurred even earlier than planned, and costs turned out to be lower than expected.
This is reported by Finway
Capabilities and Advantages of the Elsa Platform
Elsa modernizes the government system by automating routine processes and significantly enhancing employee efficiency. For example, thanks to the new AI tool, FDA reviewers now need only six minutes to process documents that previously took three days. Key features of Elsa include summarizing adverse event reports, comparing drug labeling, generating code for databases, and assisting inspectors in identifying high-risk entities.
“Today, the FDA is launching a new AI tool agency-wide—Elsa—to modernize the agency’s operations. We achieved this goal ahead of schedule and saved funds through the collaboration of our scientists across all centers,” he noted in a video address.
Elsa operates in the secure GovCloud environment, without using information provided by pharmaceutical companies, ensuring the confidentiality and independence of internal processes.
Future Development and Impact on the Industry
FDA’s Director of Artificial Intelligence, Jeremy Walsh, views the launch of Elsa as the beginning of a new era for the agency. He stated that AI is already helping employees work more efficiently today.
The FDA plans to further expand Elsa’s capabilities, including automating data management and applying generative AI. Marty Makary emphasized that Elsa is just the first step in a series of digital transformations awaiting the agency in the near future.
The launch of Elsa aligns with the current requirements of the White House, announced in April 2025, which call for the appointment of AI leads in federal agencies and the development of policies for managing the risks of artificial intelligence use.
New technological trends are also evident in the private sector. In particular, Robinhood CEO Vlad Tenev expressed at the Bitcoin 2025 conference that the future belongs to AI companies with minimal staff that will operate autonomously, be tokenized, and be tradable on blockchains.
At the same time, the implementation of cutting-edge technologies requires caution: a recent law school graduate from Utah was fired for using ChatGPT to prepare a lawsuit without proper verification, resulting in a document containing false cases and fabricated quotes.