SBIR/STTR Research Award

Unlocking Data for Secure AI Missions

Award identifier 6d5c3ee936d6f04e6f68ffc9e76df0ba8b4eca91d10e0d7176e53362c92f50b2Awarding agency Department of Defense · Army

Award amount

$1,999,838

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
Army
Recipient company
PROTOPIA AI INC
Proposal award date
2025-07-17
Contract end date
2027-01-27
UEI
Y3WETN67KTA5
Solicitation number
24.4
Topic code
A244-P017

Research abstract

The rapid adoption of artificial intelligence (AI) is a strategic imperative for the United States Army to maintain its competitive edge against adversaries, notably the People’s Republic of China (PRC), which has emphasized AI as a cornerstone of its military modernization. However, the Army faces significant barriers in securely deploying AI due to the risks of exposing sensitive data, including medical records, financial information, and weapon system capabilities, to inference systems. Current methodologies, reliant on plain-text data decryption, leave critical information vulnerable to compromise during AI processing. Traditional data protection solutions introduce prohibitive latency, require costly specialized hardware, or necessitate fundamental alterations to AI workflows, rendering them impractical at scale. Protopia AI’s Stained Glass Transform (SGT) addresses these challenges with a scalable, privacy-preserving data protection technology. SGT enables secure AI processing by converting sensitive data into stochastic, randomized representations comprehensible only to authorized AI models. This one-way transformation is irreversible while preserving model response accuracy and imposing negligible latency. The SGT framework seamlessly integrates into existing AI lifecycles as a post-training optimization step and operates efficiently on commodity hardware without requiring specialized infrastructure. Key Innovations of SGT:1. Minimal Latency Impact: SGT maintains near-zero latency during inference, critical for real-time military applications.2. Hardware Agnosticism: SGT requires no specialized hardware, facilitating broad deployment across existing and emerging platforms.3. Workflow Compatibility: No modifications to AI workflows are necessary, ensuring straightforward integration with Army systems. The Stained Glass Engine (SGE), the core product behind SGT, generates tailored transformations for specific AI models. This process preserves data utility for training, validation, and inference while rendering the data unintelligible to unauthorized users. By mitigating risks associated with data exposure, SGT supports a variety of Army use cases, including:• Secure inference and prediction in operational environments.• Privacy-preserving verification and validation during AI model testing.• Enabling data obfuscation for large-scale AI training without exposing sensitive content.

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

2 SBIR/STTR records share this UEI (2025). Reported award amounts total $3,244,043. Reported amounts are not federal obligations.

Phases: Phase II – Direct to Phase II

Agencies: Department of Defense

Agency intelligence

Department of Defense

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