AI-Powered Unstructured Data Cleansing & Standardization Engine

The contract seeks the development and deployment of an AI and machine learning solution designed to transform unstructured aircraft maintenance narratives from legacy systems into clean, standardized, structured data using ATA codes and industry-accepted terminology. The solution must accurately cleanse and parse free-text maintenance logs, identifying and mapping entries to standardized codes and formats to enhance data usability across maintenance, logistics, and compliance workflows. The system should handle diverse data inputs, recognize semantic variations in technician language, and consistently output reliable structured datasets that support interoperability and analytics. This is a subcontract under the Department of Defense, specifically managed by FA4890 Hq Acc Amic, with performance expected to occur at an unspecified location with a zip code of 36276. The solicitation was posted on July 21, 2026, and proposals must be submitted by July 31, 2026, at 5:00 PM. The NAICS code 511210 indicates the work falls under computer systems design and related services, emphasizing the technical and algorithmic nature of the required solution. The goal is to modernize legacy maintenance data infrastructure, enabling better decision-making, predictive maintenance capabilities, and regulatory compliance through automated, accurate data standardization.