Technology
Technology companies increasingly build products with AI built into the back end to deliver new functionalities to their enterprise customers.
Learn how Protopia AI is helping technology companies expand the market opportunity of their products by enabling them to deliver their innovative solutions without needing enterprise customers to expose their unprotected sensitive information.
Technology-focused Company Use‑Cases
Natural Language Interface to Databases
Democratizing data for your enterprise customers does not mean they need to expose their prompts and database answers to you, or their technology provider. Use Stained Glass to empower your enterprise customers to retain ownership of their plain-text prompts while simplifying access to data within their organization.
LLM Summarization and Q&A Use-cases
Delivering LLM use cases such as summarization or Q&A to enterprises does not mean building everything from scratch internally or letting performance suffer.
Maximize the efficiency of building and delivering quality products. Transform prompts and context within your network’s trusted boundary, and use state-of-the-art foundation models from our partner network to fit your LLM’s needs.
Code Generation
When using GenAI and LLMs to increase the efficiency of your teams by automating tasks like generating test code, you no longer need to expose your trade secrets and IP.
Stained Glass can protect your most valuable assets while prompting or fine-tuning LLMs for code generation.
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Latest News & Articles
Zero-Trust AI Factories Unlock Sensitive AI Anywhere with Protopia AI Stained Glass Transform and NVIDIA Confidential Containers
NVIDIA Confidential Computing, combined with Protopia AI’s Stained Glass Transform, helps organizations protect sensitive inference data and model IP, enabling more secure AI deployment across multi-tenant infrastructure.
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.
McKinsey Lilli hack & Anthropic Mythos reveal new AI cybersecurity threats
The application-layer breach has known fixes, and McKinsey has applied them. The inference pipeline is the second layer, and it is the one Mythos should reframe.