The Army Contracting Command Orlando (ACC-Orlando), on behalf of the Program Executive Office for Simulation, Training, and Instrumentation (PEO STRI), is seeking qualified proposals to provide Apache AH-64 Transition Training Support (ATTS), previously referred to as 'AH-64 CONUS and OCONUS TRANSITION TRAINING SUPPORT,' to the U.S. Government (USG) and Foreign Military Sales (FMS) customers. The purpose of this request for proposal (RFP) is to establish a 5-year, single-award, indefinite-delivery/indefinite-quantity (ID/IQ) contract that will enhance the capabilities of military personnel by ensuring that personnel, including operators, maintainers, Maintenance Test Pilots (MTPs), support personnel, and other authorized individuals, are qualified and trained to effectively transition operations from previous Apache versions to the AH-64E V6 (and any subsequent AH-64 versions).
Offers due Dec 20, 2024, 12:00 PM (EST)
This Request for Information (RFI) supports a potential in-flight demonstration of the Active Electronically Scanned Array (AESA) Radar to be conducted on Redstone Arsenal, Al. The government intends to investigate AESA Radar technologies that are capable of fulfilling the requirements of multiple rotary and fixed-wing platforms. Desired capabilities include Fire Control, Pilotage, Pilot aid in Degraded Visual Environments (DVE), Pole/Tower and Cable Detection, Airborne Hazards, Terrain Following (TF), Terrain Avoidance (TA), and Shoreline mapping using Augmented Reality (AR) techniques. Respondents are still encouraged to respond if they can only provide a subset of capabilities,
Responses due Jan 21, 2025, 4:00 PM (CST)
Next PALT – 14 January 2025, 11:00 AM (EDT), PM TRASYS’ (USMC) PALTS are ICW the Army PALTs; in a Hybrid (Virtual/Live), limited Live attendees (150). There is a Navy (NAWC-TSD) PALT on the same day, in the same location, at 13:30 hours.
ACC-Orlando posted a special notice for Broad Agency Announcement, TRMC TE-ST
This BAA’s purpose is to enable the Test & Evaluation/Science & Technology (T&E/S&T) Program to focus on RDT&E Advanced Technology Development for technologies required to test and evaluate future warfighting capabilities. The T&E/S&T Program will accept a high degree of technical risk to fund innovations that could result in high-payoff technological advancements. The Program will consider novel, unproven solutions that are deemed too risky to be adopted in current DoD T&E approaches.
Response Date: 13 MAR 2027 (March 13, 2027, 5:00 PM (BAA submittals can occur through this date)
• Artificial Intelligence/Machine & Deep Learning (AI/ML)
• Cyber (i.e. Persistent Cyber Training Environment)
• Cybersecurity/Cross Domain Solutions
• Embedded Training
• Game Engine (Platform/Infrastructure) Development and Deployment
• Human Performance & Training effectiveness
• Integrated Internet of Things (IoT) at Point of Need (PoN)
• Medical Simulation
• Multi-Sensory Simulation & Training
• Terrain/Environment Modeling and Rendering
ACC-Orlando posted a special notice for Broad Agency Announcement, TRMC TE-ST
This BAA’s purpose is to enable the Test & Evaluation/Science & Technology (T&E/S&T) Program to focus on RDT&E Advanced Technology Development for technologies required to test and evaluate future warfighting capabilities. The T&E/S&T Program will accept a high degree of technical risk to fund innovations that could result in high-payoff technological advancements. The Program will consider novel, unproven solutions that are deemed too risky to be adopted in current DoD T&E approaches.
Response Date: 13 MAR 2027 (March 13, 2027, 5:00 PM (BAA, submittals can occur through this date))
• Artificial Intelligence/Machine & Deep Learning (AI/ML)
• Cyber (i.e. Persistent Cyber Training Environment)
• Cybersecurity/Cross Domain Solutions
• Embedded Training
• Game Engine (Platform/Infrastructure) Development and Deployment
• Human Performance & Training effectiveness
• Integrated Internet of Things (IoT) at Point of Need (PoN)
• Medical Simulation
• Multi-Sensory Simulation & Training
• Terrain/Environment Modeling and Rendering