Apr 9, 2021
San Diego, CA: We are thrilled to announce that we have been awarded a Phase I contract through AFWERX/SBIR. Today’s processes for uncovering chronic problems on aircraft are entirely manual, and for some wings nonexistent. Chronic problems lead to unnecessary maintenance errors and incorrect aircraft system fixes and intense resource drain, which costs money and lives, and greatly decreases mission readiness.Today’s processes for uncovering chronic problems on aircraft are entirely manual, and for some wings nonexistent. Chronic problems lead to unnecessary maintenance errors and incorrect aircraft system fixes and intense resource drain, which costs money and lives, and greatly decreases mission readiness.We look forward to using this Phase I award to engage with empowered aircraft operators throughout the Department of Defense, to Aermetric Maintenance Platform's (AMP) next level capabilities to warfighters as rapidly as possible.
Today’s processes for uncovering chronic problems on aircraft are entirely manual, and for some wings nonexistent. Chronic problems lead to unnecessary maintenance errors and incorrect aircraft system fixes and intense resource drain, which costs money and lives, and greatly decreases mission readiness.
Today’s processes for uncovering chronic problems on aircraft are entirely manual, and for some wings nonexistent. Chronic problems lead to unnecessary maintenance errors and incorrect aircraft system fixes and intense resource drain, which costs money and lives, and greatly decreases mission readiness.
About the Chronic (Repeat Maintenance Flagging) Program:
Currently, the U.S Air Force (USAF) does not have a standardized chronic flagging solution across its fleets. Today’s processes for uncovering chronic problems on aircraft are entirely manual, and for some wings nonexistent. Chronic problems lead to unnecessary maintenance errors and incorrect aircraft system fixes and intense resource drain, which costs money and lives, and greatly decreases mission readiness. Aermetric’s algorithms autonomously flag chronic systems and components using a combination of machine learning, text mining, and component association. Aermetric’s chronic modeling is more accurate (95%) than leading commercial competitors, and is the only company in the industry targeting chronic events down to the component (ATA6/WUC5) level. Using it’s chronic modeling, Aermetric proved that it could save the 19th AF $8.9M in direct maintenance costs while increasing sorties by +3%.
