P07 Phase I HQ003427AOI05 OSW CAPE Modeling and Simulation.docx
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- Area of Interest: OSW Cost Assessment and Program Evaluation (CAPE) Modeling and Simulation
- Solicitation number
- HQ003427AOI5
- Issued by
-
DOD Washington Headquarters Service
About this file
This is an Area of Interest (AOI) for a Commercial Solutions Opening solicitation issued by the Department of Defense Washington Headquarters Services Acquisition Directorate seeking innovative modeling and simulation solutions for the Cost Assessment and Program Evaluation (CAPE) office under the Office of the Secretary of War.
CAPE currently relies on computationally intensive physics engines (such as AFSIM) that require approximately one hour of real-time execution per simulation run and 20 gigabytes of RAM, limiting the organization's ability to conduct rapid sensitivity analyses across multiple threat scenarios and warfighting capabilities. The government seeks a next-generation modeling architecture comprising three integrated functional layers: (1) a high-performance simulation execution layer capable of executing 1,200 to 150,000 individual simulation runs within 10 hours to 2 weeks respectively; (2) a machine-learned surrogate emulation layer to train ultra-fast emulator models from simulation results; and (3) a self-service quantitative analysis layer with pre-built sensitivity analysis methods and visualization tools. The solution must operate at Impact Level 6 (IL6) security classification to enable access from secure facilities at the Pentagon and Mark Center, support network throughput of 100 Mbps to 1 Gbps with HTTPS connectivity to external data sources, accommodate modern development ecosystems including Python, R, Java, PyTorch, and large language models, and provide managed infrastructure IT operations including hardware maintenance, OS patching, automated backups, and cybersecurity hardening. The government will retain full operational control over user access, security permissions, and data management while the commercial provider manages platform operations. Solution Briefs are due by 4:00 PM ET on November 12, 2026, with questions due by 4:00 PM ET on November 5, 2026. The contracting point of contact is Danny Uhr (danny.j.uhr.civ@mail.mil) and the technical point of contact is Daniel Richmond (daniel.j.richmond5.civ@mail.mil).
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Area of Interest (AOI) for Cost Assessment & Program Evaluation Modeling and Simulation
| Project Number |
| HQ003427AOI05 |
| Commercial Solutions Opening |
| HQ0034259WHSCSO |
| AOI Title |
| CAPE Modeling and Simulation |
| DoD Program Office |
| OSW Cost Assessment and Program Evaluation |
| Issued by |
| Washington Headquarters Services / Acquisition Directorate |
Instructions
See the current version of HQ0034259WHSCSO, Section II CSO Procedure b. Phase 1 – Solution Brief
| Solution Briefs Due |
| 4:00PM ET, 12 November 2026 |
| Contracting Point of Contact |
| Danny Uhr, danny.j.uhr.civ@mail.mil |
| Technical Point of Contact |
| Daniel Richmond, daniel.j.richmond5.civ@mail.mil |
Background:
The Department of War (DOW) Cost Assessment and Program Evaluation (CAPE) supports the Office of the Secretary of War (OSW). The Director of CAPE is the principal staff assistant to the Secretary of War for Cost Assessment & Program Evaluation. In fulfilling this role, the Director of CAPE provides independent, non-advocate, and data-driven analytical evaluations directly to the Secretary and Deputy Secretary of War regarding defense program investments, major force structure posture, and strategic resourcing trade-offs. The Director’s principal responsibilities include:
· Analyze and evaluate plans, programs, and budgets in relation to U.S. defense objectives, projected threats, allied contributions, estimated costs, and resource constraints.
· Review, analyze, and evaluate programs, including classified programs, for executing approved policies.
· Provide leadership in developing and promoting improved analytical tools and methods for analyzing national security planning and the allocation of resources.
· Ensure that the costs of DoW programs, including classified programs, are presented accurately and completely.
· Assess effects of DoW spending on the U.S. economy and evaluate alternative policies to ensure that DoW programs can be implemented efficiently.
DoW Problem Statement:
Currently, CAPE’s campaign- and mission-level Modeling and Simulation (M&S) relies on heavy, time-intensive physics engines (e.g., AFSIM) that execute discrete, bespoke combat runs. While highly detailed, these simulation approaches are too slow, computationally expensive, and inflexible to support executive-level sensitivity sweeps across multi-dimensional threat environments and Department warfighting capabilities. CAPE’s current environment leverages HPC resources that provide 1.5 terabytes (TB) of usable memory and 2,000 Central Processing Unit (CPU) cores with no wall clock time restraints. On average, individual simulation execution via AFSIM requires 1 hour of real time to complete and 20 gigabytes (GB) of accessible RAM. This constraint, coupled with sharp disparities in compute architecture, hardware availability, and security accreditation across existing CAPE enclaves restrict analysts to limited, manual workflows while preventing the execution of high-throughput, compute-intensive campaign analytics.
Desired Solution Attributes:
CAPE is seeking innovative solutions to establish a next-generation modeling architecture, replacing its legacy M&S infrastructure. To dramatically compress the cycle time between defense budget queries and statistically defensible warfighting insights, the target environment must integrate three interdependent functional layers: (1) A high-performance simulation execution layer to execute large numbers of model (e.g., AFSIM) runs to span the parameter space. Runs in this layer are computationally intensive and resource demanding but will be executed infrequently and systematically using advanced Design of Experiments techniques. (2) A machine-learned surrogate emulation layer to train ultra-fast emulator models from simulation results and detect out-of-sample queries. While the government plans to develop and calibrate these surrogate emulators and analytical models in-house, the commercial solution must provide the extensible data staging, pipeline integration, and execution framework to ingest batch simulation results and host these government-developed models. (3) An intuitive self-service quantitative analysis layer housing pre-built methods for sensitivity analysis, marginal gain estimates, etc., and tools for custom analysis (e.g., tradespace decisions between range, speed, and lethality of weapon systems) and visualization. The solution must support both current operational needs and have flexibility to accommodate future growth in data volume, model complexity, user demand, and computational intensity. This next generation environment will establish an open, scalable, and unified computational backbone designed to modernize Department decision support.
The scope of this effort includes the following core technical and performance requirements.
· A high-performance compute environment sized to meet demanding modeling, simulation, and analytic workloads. Proposed solution architectures should span options to allow for parameter evaluation in the simulation layer on the order of 1,200 individual simulations (i.e., light case - isolated missions only) to be executed within 10 hours real-time, up to 150,000 individual simulations (i.e., heavy case – full joint campaign) to be executed within 2 weeks real-time. Of note, current CAPE architecture would require 1 year of simulation execution runtime for the heavy case.
· Secure, efficient, data and software movement both into and out of the environment, as well as the ability to interface with external networks to enable transfer of data in accordance with applicable security and access controls. The environment must support network throughput of 100 Mbps - 1 Gbps. The solution must also support connectivity over HTTPS to designated external OSW and mission-relevant data sources, including OSW CAPE-furnished databases and other authorized repositories (e.g., War Data Platform), as applicable.
· Ability to accommodate evolving development ecosystems and diverse sets of software including M&S tools and analytic technologies. This includes modern software (e.g., Python, R, Java, etc.), scalable data platforms, scalable parallelizable processes (e.g., containers), optimization tools (e.g., GAMS), artificial intelligence capabilities (e.g., large language models), and neural network development (e.g., PyTorch), provided they can be incorporated in a secure and maintainable manner. The solution must enable efficient onboarding, integration, and removal of models and software as mission needs evolve.
· The Government will retain full operational tenant administration, maintaining exclusive control over user access provisioning, role-based security permissions, data ingestion, proprietary model uploads, container orchestration, and analytical query execution. The Commercial provider will be responsible for turnkey, managed platform and infrastructure IT operations, including hardware availability, operating system patching, network performance, automated system backups, and baseline cybersecurity hardening, ensuring government analysts and technical leads are fully insulated from day-to-day hardware maintenance and IT administration.
Special Considerations:
To access this environment CAPE must be able to do so from secure spaces at the Pentagon and Mark Center. This necessitates that the virtual infrastructure and HPC architecture must operate at Impact Level 6 (IL6).
Eligibility:
Requirements for participation include being able to deliver the technical attributes and capabilities described in the Area of Interest along with satisfying at least one of the conditions for eligibility outlined in the CSO HQ0034259WHSCSO Section I.e. Eligibility.
Procedures:
Any award resulting from this AOI shall be in accordance with the Commercial Solutions Opening (CSO) procedures detailed in HQ0034259WHSCSO. The instructions in the CSO, and any additional instruction as specified in this AOI posting, must be followed. Acceptance of a solution not submitted in accordance with the instructions is at the sole discretion of the WHS/AD Agreements Officer. The Government intends to conduct this AOI in three phases as detailed in the CSO. The Government may issue amendments to this AOI. Companies are responsible for monitoring sam.gov for amendments to this AOI posting.
Questions:
Questions should be sent to the Agreements and Technical Points of Contact on page 1 no later than 4:00 PM (ET) on November 5, 2026. Please be advised that submitted questions and answers may be posted to SAM.gov.
Response:
White Papers submitted in response to this AOI shall be submitted to the Agreements and Technical Points of Contact on page 1 by no later than 4:00 PM (ET) on November 12, 2026. The Government may extend the response date by amending this AOI. Companies are responsible for monitoring SAM.gov for any amendments to this AOI.
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