Sensitive AI workloads shouldn't be stranded on dedicated hardware.
That's the isolation tax. Protopia AI Stained Glass Transform removes it.
Data Privacy in the Inference Era: Who Really Controls Enterprise Data?
Eiman Ebrahimi, PhD, CEO, Protopia AI
Eiman Ebrahimi on stage with privacy and data leaders from Stripe, Netflix, and Nutanix, on who actually controls enterprise data once it reaches the inference endpoint.
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See Protopia AI Stained Glass Transform in action
Book 30 minutes for a live demo of Protopia AI Stained Glass Transform with Eiman Ebrahimi and the team at meeting pod P2.
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See transformed data go in, accurate responses returned. Protopia AI Stained Glass Transform in action.
Kill the isolation tax.
Sensitive workloads force a dedicated carveout, and the capacity you bought to serve them sits idle.
Nothing readable reaches the host
Protopia AI Stained Glass Transform converts sensitive inputs into a protected representation inside your trust boundary. The inference endpoint, its logs, caches, and GPU memory never hold raw data.
Regulated work runs on capacity you already own
Workloads that needed their own carveout run on multi-tenant infrastructure alongside everything else. In a modeled 12-tenant deployment, $413K a year becomes $47K.
Choose infrastructure on economics, not sensitivity
On-prem, a sovereign region, public cloud, or a partner for burst capacity. Only the protected representation leaves your trust boundary, so the trust posture is the same everywhere.
Inference privacy on multi-tenant infrastructure
Each tenant converts prompts into protected representations inside its own environment. The AI factory runs the work without ever holding plaintext.
embeddings
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Plaintext stays in the tenant boundaryThe AI factory operator never takes custody of plaintext prompts or context. Logs, caches, memory, and observability tooling on the host hold only the protected form.
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Drop-in via an OpenAI-compatible proxyNo model retraining. No specialized hardware. Integration runs in days to weeks.
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Accuracy and performance holdValidated across HellaSwag, MMLU, TruthfulQA, and ARC. Accuracy retention is 95% or higher, with latency overhead around 15ms.
Featured resources
Breaking Data Silos: How Private Inference Unlocks GPU ROI on Sensitive Data
Private inference architecture, powered by Protopia AI’s Stained Glass, directly strengthens multiple ARMOR domains.
Useful Agentic AI Has Arrived
Protopia AI's SafeCLAW makes inference safe for sensitive data, so the work that was previously paying the isolation…