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AI/ML Decision Support & Predictive Analytics

Active
Federal

Contract Overview

Solicitation details, issuing organization, response deadlines, documents, and interested companies for this government contract opportunity.

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This subcontract, issued by the Department of Defense under Kessel Run AFLCMC/HBBK, focuses on the development of AI-enabled software tools to support prime contractors on Department of the Air Force EMIS projects. The primary objective is to build AI/ML models for automated damage assessment using post-incident imagery, alongside predictive tools designed for proactive preparedness and recovery. A critical component of the work involves implementing airfield recovery logic to evaluate runway damage relative to specific mission requirements. The project requires the delivery of AI/ML modules and predictive analytics engines that meet a Technology Readiness Level of 7 or greater. Additionally, all developed tools must demonstrate resilience against adversarial attacks to ensure security and reliability. Interested parties should note the response deadline of October 30, 2026, for this effort categorized under NAICS code 541715.

General Info

NAICS

541715 - Research and Development in the Physical, Engineering, and Life Sciences (except Nanotechnology and Biotechnology)

Place of Performance

MA, USA

Set-Aside

NONE

Documents

This scope was carved out of FA8730-26-RFI-C2IMERA-WARDEN.

The full solicitation package (3 documents), including the RFP, is on the prime solicitation, not on this scope.

View the prime solicitation

RFI for C2IMERA WARDEN- DAF EMIS (Department of Air Force Emergency Management Information System)

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Timeline

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Organization & Contact Information

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AgencyDepartment Of Defense → FA8730 Kessel Run Aflcmc/hbbk
ContactsNo contacts available
OfficeN/A
Office AddressN/A
ContactsNo contact information available

Full Description

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Develops AI-enabled software tools for prime contractors on Department of the Air Force (DAF) EMIS projects. Builds AI/ML models for automated damage assessment using post-incident imagery and predictive tools for proactive preparedness and recovery. Implements airfield recovery logic to evaluate runway damage against mission requirements. Requires TRL 7 or greater and resilience against adversarial attacks. Delivers AI/ML modules and predictive analytics engines.

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