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Automated Combat Assessment at the Edge

In short: Combat assessment (physical and functional) provides tactically relevant information for re-strike and re-planning. The state of practice for traditional targeting involves generating after-action reports including battle-damage assessment hours after mission execution relying on multiple imagery collects (EO).

Excerpt from the official topic description. Read the full solicitation before deciding to apply.

AgencyDepartment of War (DoD) · USAF
ProgramSTTR
PhaseBOTH
Topic numberDAF26TZ06-NV007
Solicitation26.TZ
Release dateSep 2, 2026
Open dateSep 23, 2026
Close dateOct 21, 2026
Status on SBIR.govOpen
DSIP statusOpen
CMMC level (DSIP)Level 2 (Self)

View official solicitation   SBIR.gov topic page

Full description (from SBIR.gov)

Combat assessment (physical and functional) provides tactically relevant information for re-strike and re-planning. The state of practice for traditional targeting involves generating after-action reports including battle-damage assessment hours after mission execution relying on multiple imagery collects (EO). This analysis is performed as a sequence of independent tasks that are outdated, time consuming, and lack automation. This does not meet timeline requirements for prosecution of advanced enemy threat systems as critical missions require battle damage assessment immediately post-strike, to inform planning for re-strike and to drive potential changes to operations. Despite advancements in technology, challenges still remain for speeding processes such as time-consuming and often incomplete nature of traditional damage assessment methods, limitations in remote sensing technologies, hindering data collection especially in remote or difficult-to-access areas, the lack of real time pre- and post-event satellite imagery for model training. This topic seeks the development of a system for the automation of damage assessment following the below operational realities: - Edge Processing Software. Software programs and data-sharing instructions designed to run directly on physical field equipment such as sensors and unmanned aerial vehicles (UAVs). For multi-sensor, multi-modal data collection and processing, damage classification and assessment at the edge in (near) real time, and information sharing protocols under low SWaP and contested environments constraints. - AI/ML Software Model Development. AI/ML software designed to automatically classify military damaged. For damage classification (physical and functional) that is aligned to the CJCSI 3162.02 for DoD customers, confidence intervals aligned to the Intelligence Community Directive ICD 302, and performance metrics for accuracy, computation time, and sensors density & location. - Robust Testing and Evaluation. To ensure the operational effectiveness, suitability, and survivability of the aforementioned technologies, testing and evaluation would be conducted in a phased approach. Beginning with laboratory-based testing to verify basic functionality and performance, followed by increasingly complex testing in simulated and field environments. The goal is to ensure that the technologies developed for combat assessment are operationally effective, suitable, and can be confidently deployed in operationally relevant environments.

Possibly related past awards

Matched by keyword overlap within the same agency from the SBIR.gov public award dataset. Not an official linkage.