Description

The Air Force Life Cycle Management Center (AFLCMC) Command and Control Intelligence, Surveillance and Reconnaissance (C2ISR) Division requires site support functions and logistics sustainment necessary to maintain capabilities for Global Network Systems. Through this requirement, the Government is seeking individuals with strong background and experience with algorithm management. These individuals must be able to perform higher integration and orchestration functions in the management and oversight of the architecture, its systems and programs. They must also possess an exceptional understanding of the fundamental principles of algorithm invocation and workflows for processing against geospatial imagery and integrating algorithm marketplace systems with existing complex geospatial processing capabilities. THIS IS A REQUEST FOR INFORMATION (RFI) ONLY. This RFI is issued solely for information and planning purposes - it does not constitute a Request for Proposal (RFP) or a promise to issue an RFP in the future. This RFI does not commit the Government to contract for any service whatsoever. Further, the Air Force is not at this time seeking proposals and will not accept unsolicited proposals. Responders are advised that the U.S. Government will not pay for any information or administrative costs incurred in response to this RFI; all costs associated with responding to this RFI will be solely at the interested party's expense. Not responding to this RFI does not preclude participation in any future RFP, if any is issued. Interested parties are requested to respond to this RFI by providing a company capability statement pertaining to the below areas of expertise. ONLY prime contractors shall complete a capability statement; however, prime contractors are able to include information provided by their subcontractors in their response. Capability statements shall not exceed 20 pages in length and must address the following: a. GEOINT AI/ML Algorithm Orchestration Framework Please describe your experience with modular design and open architecture approaches for integrating, testing, and hosting advanced algorithms and cataloging data in support of GEOINT exploitation. Detail experience handling the ingest of GEOINT products (imagery, geoJSONs, etc.) or data from external sources and performing automatic tasking, workflow management, or algorithm retraining/implementation accordingly. Include information on your experience with machine learning algorithm orchestration or algorithm repository implementations and other similar system-of-systems-based approaches. b. GEOINT AI/ML Exploitation Applications Highlight specific experience and discuss current/past projects involving any or all of the following: - Exploitation of electro-optical (EO) and synthetic aperture radar (SAR) imagery - Automatic target recognition (ATR) in EO/SAR imagery via AI/ML algorithms - Point clouds and or 3D/4D generating volumes from EO/SAR imagery - Synthetic target/object (CAD …

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• Attachment 1