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Stained Glass Transform™

Protopia AI’s Stained Glass Transform™ (SGT) expands the usability of sensitive data for AI and GPU optionality with state-of-the-art data protection and privacy.

Stained Glass takes data from your root of trust and transforms unprotected data into stochastic representations that retain the data’s utility for target AI models while rendering it unintelligible to humans and to other AI models. 

Unlock data availability and improve AI accuracy.

Protect sensitive data across AI inferencing, fine-tuning, model training and RAG.

Leverage GPUs in heterogenous environments – across on-prem, dedicated and multi-tenant implementations.

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What are Stochastic Representations?

SGT holistically transforms the entirety of each data record using our patented technology into randomized representations that preserve the data’s functionality for target AI models.

The transformations are usable only by the target model, work across data modalities, and are non-deterministic, irreversible and computationally lightweight.

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Stochastic representations of text for a language model holistically changes data for a customer classification task. The accuracy of the fine‑tuned LLM stays virtually intact.

Stained glass generates stochastic representations that enable VIP recognition task to operate accurately without exposing scene in unprotected & human recognizable format. 

Use and send data to Generative AI solutions

Protect your sensitive data at LLM inference endpoints with stochastic transformations that preserve utility for target models while remaining unintelligible to humans and other AI systems.

Get Priority Access to Stained Glass for LLMs

Enable data protection during ​ML Training and Inferencing

Data ownership and enterprise data confidentiality is not just for ML training. Enterprise data for AI-driven insights is just as confidential. Stained Glass protects data both during ML training and ML deployment.

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Latest News & Articles

Announcement

Private Token Factories

Private Token Factories: How Rafay and Protopia AI Let Sensitive Workloads Run on Shared GPU Capacity

The direct win is being able to serve workloads that used to require dedicated, single-tenant endpoints at multi-tenant utilization instead. In Protopia’s modeled deployment economics, that shift meaningfully lowers annual infrastructure cost for those workloads, since they’re no longer sitting in underutilized carve-outs (actual savings depend on workload mix and scale).

Inference Privacy for Agentic AI Workflows

Useful Agentic AI Has Arrived

Protopia AI’s SafeCLAW makes inference safe for sensitive data, so the work that was previously paying the isolation tax can route to the multi-tenant factory like everything else.

SGT for NVIDIA Nemotron 3

Sensitive Data, Open Models, and the AI Factory’s Inference Privacy Layer

Protopia AI Stained Glass Transform (SGT) is now available for NVIDIA Nemotron 3 Super and Nemotron 3 Nano Omni. As an integrated data-privacy layer, SGT is designed to minimize plaintext exposure from the inference path, so an enterprise’s most sensitive workloads can run on the multi-tenant AI factory infrastructure where supported.