Powering Private Inference Anywhere
Protopia Stained Glass enables full use of AI in any environment without exposing sensitive data or impacting performance.

Trusted by leading AI teams
Industry leaders use Protopia Stained Glass to meet the growing demand for secure enterprise AI.








See why security-first teams choose Protopia
Unlock your sensitive enterprise data for AI
Stained Glass Transform™ (SGT) converts sensitive enterprise data into stochastic representations that preserve accuracy, protect privacy, and maximize AI performance, enabling secure data use across your entire AI lifecycle.
Privacy that enhances performance
Learn how SGT helps you break down data silos and maximize hardware utility.
Expand Access
Securely transmit and process data across heterogeneous environments without exposing sensitive details.
Optimize Infrastructure
Enable high-performance GPU deployments in any environment, on-prem, hybrid or multi-tenant.
Runs up to 14,000x faster
Protopia’s data protection runs up to 14,000× faster than cryptographic techniques, adding mere milliseconds to AI inference.
Learn how industry leaders secure AI workloads without compromising accuracy or latency.
PARTNER TESTIMONIALS
Discover how teams are using Stained Glass Transform™ to protect AI workloads in production
Large enterprises, AI startups, research institutions, and government customers trust Protopia to securely accelerate AI innovation.


“A big concern has emerged in AI: data privacy. Protopia uniquely addresses those concerns and accelerates time to AI deployments and value. NetApp is thrilled to have Protopia in our NetApp AI solutions as a technology partner.”

Keith Norbie
Sr. Director WW Partner
Solutions & Sales Acceleration


“The use of LLMs and GenAI will only accelerate the migration of sensitive data into the cloud… This is not a problem that traditional data security provider can solve. Luckily there are really smart people working on this like the folks at Protopia.”

Keith Norbie
Sr. Director WW Partner
Solutions & Sales Acceleration


“Being able to quickly adopt newer versions of Llama as they are released enables us to innovate and lead. With paid/closed models, we’d be waiting for procurement cycles and appropriations. With Llama, we can invest our budget in making our GPT solution faster, more capable and secure.”

Vince Kellen
Chief Information Officer
University of California, San Diego


“At Q2, we offer a variety of fraud detection solutions using AI; for example, we use computer vision to detect various forms of check fraud. The prospect of feature-level obfuscation of inbound data for maximizing data protection and privacy in our AI solutions is very compelling to us and to our customers.”

Jesse Barbour
Chief Data Scientist
Q2 Banking


“Being able to quickly adopt newer versions of Llama as they are released enables us to innovate and lead. With paid/closed models, we’d be waiting for procurement cycles and appropriations. With Llama, we can invest our budget in making our GPT solution faster, more capable and secure.”

Medical Director of Data Science
Major Health System
Retain complete ownership and ensure data security across all AI workloads
See how Protopia Stained Glass can help you meet your AI security goals.

TECHNICAL DOCUMENTATION
Integrate Stained Glass into your AI workflows
Explore Protopia’s technical resources to learn more.

Tech Docs: SGT API & Secure Model Deployment
With a flexible API interface, Protopia SGT seamlessly integrates into existing Al pipelines and can be hosted by either Protopia or an inference provider for maximum deployment flexibility....

E-Book: The Enterprise's Guide to Al Security & LLM Data Protection
This guide explores Al security challenges, compares privacy-enhancing technologies, and introduces Stained Glass Transform (SGT) for protecting sensitive data without compromising utility.

Whitepaper: A Technical Exploration of Stained Glass Transform
Explore how Stained Glass Transform (SGT) and Stained Glass Engine (SGE) enable enterprise Al teams to securely leverage sensitive data, reduce infrastructure costs, and maintain high performance across Al workflows.
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