Protopia AI is at RSAC. Meet our team of experts in AI Data Privacy and Security.

The Inference Privacy Layer for AI Factories Neo Clouds Sovereign AI AI Agents

Secure multi-tenant inference without hardware isolation: unlock sensitive data and lower TCO

Encryption ends where AI begins

At inference, your data is plaintext at the model host — exposed in logs, memory, and observability tools

Half your AI Factory is sitting idle

Privacy and compliance requirements force large granularity GPU carveouts for every sensitive workflow. The result: expensive infrastructure sitting idle between inference requests or AI restricted to the data that’s easiest to clear, not the data that drives the most value. 

Whether you run an enterprise AI hub, a sovereign cloud, or a managed inference platform — this is why your GPUs are sitting idle. 

Multi-tenant scheduling alone doesn’t solve this: it controls who gets compute, not who can see the data flowing through it.

Protopia Stained Glass enables private, multi-tenant inference, no hardware isolation required. More tenants served, more tokens processed, better economics at scale.

CUSTOMER BENEFITS

What the Stained Glass inference privacy layer unlocks​

Deploy sensitive data use cases faster, cheaper, and privately on any infrastructure

Paying the data, infrastructure, and deployment tax:

With Protopia Stained Glass inference privacy layer:

Your most valuable data is walled off from AI or degraded by de-identification.

With Protopia Stained Glass

Sensitive data flows into AI pipelines at full fidelity, no exposure.

Sensitive workloads are locked to isolated large-granularity compute regardless of utilization.

With Protopia Stained Glass

Deploy on any infrastructure, including managed, multi-tenant.

Every sensitive use case carries extra compliance cycles, procurement friction, and isolation requirements.

With Protopia Stained Glass

Accelerate deploying sensitive data workflows like any other workload.

Use cases killed because the cost math doesn't work

With Protopia Stained Glass

Use cases evaluated on business value, not infrastructure cost

Protopia Stained Glass

Created in post-training. Deployed on any infrastructure.

Stained Glass Transform (SGT) replaces raw data with model-specific, randomized representations — usable only by the target model, with no changes to the model or serving stack. SGT is trained in a post-training step that enables the unmodified model to operate accurately on randomized representations, eliminating raw data from inference entirely. 

Encryption, masking, tokenization, and confidential computing can complement this but none can achieve it alone.

Read The Whitepaper

Take the first step

Find out how private inference powered by Protopia Stained Glass can transform your AI efforts.

Enterprise Guide to
AI Security

A practical guide to deploying privacy-preserving AI at scale, from infrastructure to data governance.

Protopia Tech Docs

Read the technical deep dive on how SGT works, benchmarks, and integration patterns.

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