Financial Services
Protopia Stained Glass for Financial Services
Run fraud detection, compliance workflows, and research on sensitive data with zero plaintext exposure during inference.
Trusted by
Q2 Banking
Provost
ALTR
NetApp
NVIDIA
Architecture
Inference privacy for sensitive financial data
Eliminate plaintext exposure during AI inference and unlock new use cases for PII and regulated data.
Nexus Capital Ventures
Enterprise Zone of Trust
PROMPT
Analyze these transactions and flag fraudulent activity
CONTEXT
transactions.csv
DATA SOURCE
Customer Records
Stained Glass Transform
protected
embeddings
embeddings
response
Inference Infrastructure
AI Factory
FROM NEXUS CAPITAL VENTURES
[0.42, -0.18, 0.91, 0.07, -0.55…]
no plaintext
MODEL ENDPOINTS
Fraud Detection Model
INFRASTRUCTURE
vLLM
NVIDIA
HPE PCAI
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Plaintext stays in the tenant boundaryThe model host / AI Factory operator never takes custody of plaintext prompts or context.
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Drop-in via OpenAI-compatible APINo model retraining. No specialized hardware required. Run off-the-shelf models or custom models.
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Accuracy parity with plaintextValidated across HellaSwag, MMLU, TruthfulQA, and ARC. Delta under 5% in production workloads.
Stained Glass for Financial Services
Your GPUs stay busy. Your costs stay low. Your data stays protected.
Sensitive Data Stays in Your Control
Transaction records, customer data, and proprietary research transformed into unreadable, irreversible representations.
Full Accuracy on Financial Data
Preserves data fidelity across text, image, video, tabular, and code with nearly zero latency impact.
Works on Your Existing Stack
No retraining, no infrastructure changes. Works with unmodified LLMs on the infrastructure and and serving stacks you already use.
Total cost of ownership
Dedicated infrastructure is not a security strategy. It's a cost penalty.
Provisioning dedicated compute for each tenant with sensitive data leads to overprovisioned hardware, underutilized GPUs, and costs that grow linearly with each new tenant.
Case Study
“
To take advantage of AI, we have to work with the most sensitive information families have. That requires an incredibly secure solution. If every family had to run their own environment, it would be cost prohibitive. That's why Protopia Stained Glass has been part of our solution since the very beginning, and it always will be.
Brad Lawler
Chief Product Officer, Provost
↓72%
Reduction in AI Infrastructure Costs
Consolidate financial AI workloads without consolidating risk
Stained Glass enables multiple business units and clients to share AI infrastructure with zero plaintext exposure to the operator or co-tenants.
AI Compute
$5M AI Compute Spend
$3M Savings
Use cases
From fraud detection to investment research, AI that works on real financial data
Fraud Detection and Identity Verification
Run AI on real transaction records and checks without exposing customer PII to shared serving infrastructure.
Learn More ↗
KYC and Compliance Workflows
Process sensitive onboarding documents and regulatory submissions without plaintext custody risk.
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Financial Services RAG
End-to-end private RAG for proprietary research, customer records, and other sensitive documents.
Learn More ↗
Get started
The data that drives the most value is the data you cannot afford to expose.
Talk to the Protopia team about deploying Stained Glass in your environment.