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Defense and Intelligence

Inference Privacy
for Mission-Critical AI

Sensitive data powers AI that drives outcomes. Protopia Stained Glass keeps it private, so defense and intelligence agencies can deploy AI faster and get more from every infrastructure investment.

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Trusted by
Deployment Patterns

Validated across classified, hybrid, and edge environments.

No model changes. No data migration. No specialized hardware.

Cross-Agency Collaboration
Multi-Tenant Inference
Enable multiple agencies, commands, or mission partners to safely run inference on the same GPUs. Models operate on transformed data, eliminating exposure in plaintext to any tenants, platform operators, or unauthorized systems.
Tactical Edge
Overflow from Edge to Cloud
Surge inference workloads from constrained edge devices to more capable models hosted in the cloud. Stained Glass transforms sensitive data before it leaves the local boundary, so you scale compute freely across classification levels.
MULTI-SOURCE INTELLIGENCE
Private AI Across Data Sources
Process multi-INT and multi-sensor data in inference pipelines without data co-mingling. Stained Glass protects source-identifying features in the prompt, enabling analysts to query shared models across data types and compartments.
Benefits

Protopia AI delivers broad value to DoW

Lower TCO
Leverage efficient shared AI infrastructure across teams and agencies to reduce cost and increase GPU utilization.
Retain Data Ownership
Reduce risk and align with federal Zero Trust mandates by keeping sensitive data within the agency’s trust zone.
Accelerate Mission Impact
Unlock previously restricted data (e.g. video, image, text, code) for defense, intelligence, and civilian use cases.

Three paths to enterprise AI. Only one delivers full security at full scale.

Relying on dedicated infrastructure to serve each sensitive use case guarantees data separation. It also guarantees underutilization and costs that scale with programs instead of users.

Accept the Risk
Codebases, intel products, and operational data co-mingle in plaintext form on model hosting infrastructure. Every tenant’s data visible to the infrastructure and anyone with access. One compromised credential exposes everything.
Isolate at 5–10x Cost
Separate GPU infrastructure per program to prevent co-mingling. Isolated environments run at 20-40% utilization, driving costs 5-10x higher. Finer-grained isolation increases the multiplier further.
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Protect the Data, Share the Compute
Stained Glass Transform protects data before it reaches the model hosting infrastructure. Models never see plain text. One shared GPU cluster at 90%+ utilization. One ATO. One ops team. Full security + full utilization + full scale.
U.S. Navy Case Study

Private Computer Vision for VIP Detection

SGT enables computer vision models to detect key individuals from video feeds without exposing raw footage.

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Proof points

AI that meets DoW standards for trust and scale

One goal is to find ways to deliver AI capabilities that can serve 80 percent of the Army…these efforts are hyper-focused on back office, and on capabilities that are ready to go.

LG
Leonel Garciga
US Army Chief Information Officer

The Navy is accelerating drone and AI technology development under field conditions, ensuring that unmanned platforms can operate with greater autonomy and resilience in contested environments.

JFIX
2025 JFIX Report
U.S. Navy
U.S. Army
XTech
1st Place Winner 2024
U.S. Air Force
49th Maintenance Group
$1.25M D2P2 2025
U.S. Army
Enterprise Deplyoment
$2M D2P2 contract Q1 2025.
U.S. Air Force
AFSC/SW
$1.25M D2P2 2025