ZC · INFERENCE

LLM Prompt Privacy for Regulated Industries: ZC Technologies Model

by Ryan Lindsey · 2026-07-28

When handling sensitive data in regulated industries such as legal, healthcare, and finance, the privacy of prompts sent to large language models (LLMs) is paramount. Unlike other API providers, ZC Technologies does not log your prompts for training purposes, ensuring your data remains confidential. Our infrastructure is built on owned hardware, eliminating the risks associated with shared cloud environments.

Secure Infrastructure

Our ZC Inference Exchange serves Qwen 2.5 models on dedicated NVIDIA GB10 silicon, ensuring that your data never leaves our secure environment. By owning our hardware, we control the physical security of your data, reducing the risk of unauthorized access.

Pricing and Plans

ZC Technologies offers competitive pricing with our subscription plans, undercutting Anthropic and OpenAI by 60-80% per 1M tokens. Choose from our Starter, Pro, or Business plans, depending on your token usage needs.

OpenAI-Compatible API

Our API is compatible with OpenAI's, making integration straightforward. Use the /v1/chat endpoint with Bearer token authentication for secure access.

import requests

headers = {
    'Authorization': 'Bearer YOUR_BEARER_TOKEN',
    'Content-Type': 'application/json'
}

data = {
    'model': 'qwen2.5:32b',
    'messages': [{'role': 'user', 'content': 'Your sensitive prompt here'}]
}

response = requests.post('https://zcx.zctechnologies.org/v1/chat', headers=headers, json=data)
print(response.json())

Conclusion

For developers in regulated industries, the privacy and security of your data are critical. ZC Technologies provides a robust solution with our privacy model, secure hardware, and competitive pricing. Sign up for a prepaid LLM credit line at https://zcx.zctechnologies.org#plans to start using our services.

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