Inference Privacy for Multi-Tenant AI Factories
Eliminate plaintext on the AI Factory. Unlock sensitive data use cases. Transform AI Factory economics.
AI Factory ROI requires full use of data and compute
Dedicated infrastructure guarantees isolation. It also guarantees underutilization, inflated cost, and half your AI Factory sitting idle.
stained Glass for AI Factories
Make every tenant's most sensitive data available for AI
Private inference is what separates an AI Factory running at full utilization from one where sensitive workloads never reach production or tie up valuable GPUs.
Enterprise AI
Sovereign AI
Train SGT for Your Model
AI-as-a-Service
MSPs, telcos, and SIs serve sensitive workloads without taking custody of end-customer plaintext. End-customer data policy objections go away. Your platform becomes the reason they succeeded.
Private by design, not by isolation
Protopia Stained Glass sits at the tenant boundary, transforming sensitive inputs into protected representations before they reach the serving environment. Every tenant keeps plaintext under their own control. The factory runs on shared capacity, at scale.
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Plaintext stays in the tenant boundaryThe AI Factory operator never takes custody of plaintext prompts or context. No log, no memory buffer, no temporary file contains raw data.
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No model retraining or infrastructure changesSGT is a post-training step using less than 1% of training resources. Deploys as a drop-in privacy layer via an OpenAI-compatible API. Works with Llama, Mistral, and other open-weight LLMs.
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Accuracy parity with plaintextValidated across HellaSwag, MMLU, TruthfulQA, and ARC benchmarks. Delta under 5% in production workloads. Full fidelity for text, code, tabular data, and video.
Benefits
Protopia Stained Glass unlocks AI Factory value
From inference to agentic workflows, Stained Glass Transform secures sensitive inputs at every stage of AI Factory deployment. Explore how Protopia enables safe, scalable LLM adoption on shared infrastructure.
Activate Restricted Data
Your highest-value data is often what AI can’t touch because sending it to a shared serving environment exposes it in plaintext. HR records, legal files, clinical notes, code repositories. Stained Glass transforms it at the source so it reaches the model as a protected representation. The data becomes usable. Plaintext is never present on the AI Factory.
Better Economics at Scale
Serve Regulated Markets
Regulated industries, sovereign programs, and multi-tenant operators have all been told dedicated infrastructure is the only path for sensitive workloads. Stained Glass gives operators a concrete alternative and opens demand from customers and use cases that previously required data isolation at inference. Finance, healthcare, defense, and public sector.
Protopia Stained Glass vs. Alternate Approaches
| Approach | Inference at Speed | Eliminates Plaintext | No Specialized HW | Easy to Deploy | Low Compute Overhead | Accuracy Preserving |
|---|---|---|---|---|---|---|
| Protopia Stained Glass | ||||||
| Homomorphic Encryption (FHE) | ||||||
| Confidential Computing (TEE) | ~ | |||||
| Token Masking / Redaction |
CUSTOMER STORIES
See private inference in action
Test real-world multi-tenant inference use cases on your existing infrastructure — no model retraining or refactoring needed.
MGT AI Experience Center for SLED
Trustworthy AI Factory Architecture with HPE
