Production Scaling & Large-Scale ML Processing Capacity

The contract seeks to scale production capacity for large-scale machine learning image processing operations using government-furnished hardware, with a strong emphasis on surge planning to meet fluctuating operational demands. The work involves expanding and optimizing systems capable of processing high-volume imagery data under tight timelines, leveraging specialized machine learning models to extract actionable intelligence from visual inputs. Performance will be centered at Hanscom AFB, where the infrastructure and security protocols support sensitive defense-related processing tasks. The effort is classified as a subcontract under NAICS code 519130, indicating it relates to other information services, likely including AI-driven data analytics and computational services supporting defense missions. The government will provide all necessary hardware, requiring vendors to focus on software integration, workflow automation, and scalable processing pipelines that can rapidly adapt to surges in data volume or priority changes. Responses are due by June 18, 2026, with no set-aside provisions specified, meaning the opportunity is open to all eligible entities. The contracting activity originates from the Department of Defense under FA2398 Cm Ct Interior Srv Rcn Aflcmc/hbg, suggesting this effort supports reconnaissance, surveillance, or intelligence functions. Contractors must design solutions that ensure seamless operation on pre-provided secure systems, emphasizing resilience, scalability, and minimal latency. Success will be measured by the ability to maintain processing throughput during peak demand cycles, comply with strict security standards, and deliver consistent performance without reliance on external hardware procurement. The contract does not specify point of contact details, so potential bidders will need to rely on the official SAM.gov portal for further guidance and submissions.