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by Ryan Lindsey · 2026-06-26

Prompt privacy is a critical concern for developers in regulated industries like legal, healthcare, and finance. Unlike other API providers, ZC Technologies does not log prompts for training purposes, ensuring that your sensitive data remains confidential. Our infrastructure is based on owned hardware, not shared cloud resources, providing an additional layer of security and privacy.

Privacy in Regulated Industries

Developers in regulated industries must adhere to strict data protection laws such as HIPAA, GDPR, and CCPA. These regulations mandate the protection of sensitive data, including the queries and prompts used in machine learning models. ZC Technologies' privacy model is designed to meet these stringent requirements without compromising on performance or functionality.

How ZC Technologies Ensures Privacy

At ZC Technologies, we take privacy seriously. Our infrastructure is built on dedicated NVIDIA GB10 silicon, ensuring that your data is processed in a secure environment. We do not log prompts to training data, which means that your sensitive queries are not used to improve our models. This approach is particularly important for industries where data privacy is paramount.

Pricing and Plans

We offer competitive pricing that is significantly lower than other providers. For example, our Pro plan costs $499 per month and includes 12.0M tokens, which is $42 per 1M tokens, undercutting Anthropic and OpenAI by 60-80% per 1M tokens. Our Business plan, at $1999 per month, provides 60.0M tokens for $33 per 1M tokens, making it an attractive option for larger organizations.

OpenAI-Compatible API

Our API is compatible with the OpenAI API, making it easy to integrate with your existing systems. The endpoint is available at /v1/chat and uses Bearer token authentication. Here is an example of how to make a request:

import requests

url = 'https://zcx.zctechnologies.org/v1/chat'
headers = {
    'Authorization': 'Bearer YOUR_ACCESS_TOKEN',
    'Content-Type': 'application/json'
}
data = {
    'model': 'qwen2.5:72b',
    'messages': [{'role': 'user', 'content': 'What is the capital of France?'}]
}

response = requests.post(url, headers=headers, json=data)
print(response.json())

Conclusion

For developers in regulated industries, ensuring the privacy of your data is not just a legal requirement but a fundamental aspect of maintaining trust with your clients. ZC Technologies provides a secure and compliant solution for your machine learning needs. Sign up today at https://zcx.zctechnologies.org#plans to start using our privacy-focused API.