A unified model for specification and simulation to design, acquire, and sustain a hybrid- or multi-cloud large scale data analytics system that balances cost, performance, modularity, and security.

SBIR · Phase: BOTH · Topic DAF27BZ02-DV023 · Solicitation 27.BZ

Modern software-centric data systems across the Department of War operate in highly dynamic, shared cloud and hybrid infrastructure environments. Within complex weapon system sustainment platforms, such as the RSO CBM+ enterprise, accurately predicting and managing lifecycle resource consumption, computing performance, and ongoing operational costs presents a substantial operational challenge. Cloud and hybrid hosting costs fluctuate due to stochastic workload behaviors, data egress, and dynamic compute allocation. Across commercial and defense sectors, approximately 49% of organizations lack dedicated FinOps capabilities, resulting in frequent budget variances exceeding 18% and inefficient allocation of critical resources. Traditional MBSE methodologies and legacy toolchains (e.g., static Cameo models, detached MATLAB scripts, disconnected spreadsheets) lack the capability to execute high-fidelity, time-dependent simulations directly within the primary system specification model. This fragmentation creates significant lag between architectural planning, empirical software telemetry, and financial governance, severely limiting rapid system analysis and trade-space optimization. To address this capability gap, this project seeks innovative solutions that bridge DevOps, FinOps, and MBSE into a unified, executable environment. The proposed solution must demonstrate how system design specifications and executable simulation software can coexist within a cohesive architecture, such as an extensible, layered Service-Oriented Architecture (SOA) utilizing Systems Modeling Language (SysML) or equivalent open modeling frameworks. Offerors should propose methods to capture continuous empirical data from operational and developmental environments, allowing the model to dynamically update, calibrate, and predict both Capital Expenditures and Operational Expenditures. The solution must support hybrid operational constraints, verifying that on-premise components sustain secure, disconnected operations while remaining optimized alongside cloud assets. The entry Technology Readiness Level (TRL) for this D2P2 effort is expected to be TRL 4, progressing to TRL 6 by the conclusion of Phase II, culminating in a fully integrated, operationally viable prototype model and software suite demonstrated under representative operational conditions.

SBIR/STTR 은 미국 중소기업만 지원할 수 있습니다(Small Business Act 법정 요건). • 계열사를 포함해 상시 종업원 500명 이하 • 미국 시민 또는 영주권자 1인 이상이 50%를 초과해 직접 소유·지배 • 미국 내 사업장을 두고 주로 미국 내에서 사업을 영위할 것 • 수행책임자(PI)의 주된 근무처가 신청 기업일 것 출처: https://www.sbir.gov/faq/eligibility-requirements

Primary country

🇺🇸 United States

Also eligible

None

Foreign companies

No

Local entity

Required

Location condition

미국 내 사업장을 두고 미국 시민·영주권자가 50%를 초과해 소유한 중소기업만 신청할 수 있습니다(법정 요건).

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Official URL

https://www.dodsbirsttr.mil/topics-app/

Application URL

https://www.dodsbirsttr.mil/topics-app/

Last fetched

2026.11.06

Human review

Not reviewed — check the official announcement

First seen

2026.11.06

Data status

Auto-collected, not reviewed

AI enrichment

Needs verification