SBIR/STTR Research Award

Generative AI to Streamline DoD Construction Approvals

Award identifier 4c983835c03f9a10fc8e3adeb7dbba574b807c93299c90b7f92ee9a8453b1e30Awarding agency Department of Defense · Office of the Secretary of Defense

Award amount

$1,196,548

Program and phase

SBIR · Phase II – Direct to Phase II

Award year

2025

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Award details

Awarding agency
Department of Defense
Branch
Office of the Secretary of Defense
Recipient company
ICON TECHNOLOGY INC
Proposal award date
2025-09-29
Contract end date
2027-03-29
UEI
JUCKP31L68P8
Solicitation number
25.4
Topic code
OSD254-P001

Research abstract

ICON's generative AI platform revolutionizes design review and compliance processes for Department of Defense (DoD) construction projects by leveraging advanced artificial intelligence (AI) and Building Information Modeling (BIM) technologies. This innovative solution integrates domain-specific AI agents to automate compliance verification, optimize designs, and reduce project timelines and costs. By reimagining traditional workflows through graph-based data structures, deterministic AI models, and real-time compliance reporting,áICON transforms the design and execution of large-scale construction projects.áICONÆs approach converts traditional BIM models into graph-based data architectures, creating a multi-dimensional representation of nodes and links. This structure enhances analytical capabilities by capturing intricate design attributes, enabling robust assessments of structural integrity, code compliance, and construction feasibility. Through graph neural networks and discriminative causal learning models,áthe system develops deterministic rule sets that automate compliance checks against standards like the Unified Facilities Criteria (UFC) and the International Building Code (IBC). These AI-driven rule sets ensure consistency, reliability, and speed in evaluating complex design criteria. The platformÆs integrated AI agents continuously analyze design segments in real time, producing actionable insights and detailed compliance reports at every save point. This automated pipeline reduces human error, eliminates time-consuming manual reviews, and supports iterative design optimization.áThis platform reduces design review cycles from weeks to hours, dramatically enhancing project readiness. It identifies and mitigates potential design issues early, cutting construction costs and avoiding expensive corrections during execution. Its modular, extensible framework allows for rapid adoption across DoD agencies, federal entities, and private-sector markets. The system also supports industry- or agency-specific rule sets, making it highly adaptable to diverse applications in military and civilian infrastructure.áIts seamless integration with ICONÆs Design-Build suite supports real-time design iterations, accurate cost estimations, and compliance verifications, transforming the entire construction lifecycle. Additionally, the system fosters cross-disciplinary collaboration by automating evaluations across stakeholders, promoting holistic decision-making.áICON will enhance the platform by integrating its AI architecture, Vitruvius, and curating a dataset of DoD-specific designs to train generative AI models for compliance and optimization. By addressing DoD-specific challenges and extending its applicability to broader markets, the platform sets a new benchmark for efficiency, accuracy, and scalability in construction technology.

Technology keywords

Not reported

Other awards by this recipient

Verified by the same UEI. These are other public SBIR/STTR award pages, not a merged company record.

Awards with the same topic code

Verified by an exact topic code match. This is not a text-similarity match.

Research funding history

9 SBIR/STTR records share this UEI (2019–2025). Reported award amounts total $13,160,748. Reported amounts are not federal obligations.

Phases: Phase I, Phase II – Direct to Phase II, Phase II

Agencies: Department of Defense, National Aeronautics and Space Administration

Agency intelligence

Department of Defense

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