AI/ML Models for Drug Composition Verification

The contract seeks the development of advanced machine learning algorithms to non-invasively verify drug identity, detect contaminants, and identify substandard pharmaceutical formulations by analyzing multi-sensor data without requiring penetration of the container. This effort is focused on creating robust AI models capable of interpreting complex sensor inputs to ensure drug quality and safety, supporting regulatory and public health objectives through innovative, contactless analysis. The work must be completed within a strict timeline, with proposals due by August 20, 2026, and is classified as a subcontract under NAICS code 541715, indicating a focus on research and development in the physical, engineering, and life sciences. The contracting agency is the Advanced Research Projects Agency for Health, part of the U.S. Department of Health and Human Services, and the performance location is designated as Washington, D.C. with a ZIP code of 20005. While no set-aside provisions or specific point of contact are provided, the solicitation emphasizes technological innovation in pharmaceutical verification, targeting solutions that enhance supply chain integrity and public health outcomes. The absence of a solicitation number and detailed office address suggests this may be an internal or pre-solicitation notice, but the clear deadline and agency affiliation indicate active planning for future contracting actions.