At ZC Technologies, we understand the importance of data privacy, especially in regulated industries like legal, healthcare, and finance. Unlike other API providers, we do not log prompts for training purposes, ensuring that your sensitive information remains confidential and secure. Our ZC Inference Exchange serves Qwen 2.5 models on dedicated NVIDIA GB10 silicon, providing a private and owned hardware solution that is not shared with the public cloud. This approach allows us to offer a robust privacy model that aligns with the stringent requirements of regulated sectors.
Our privacy model is designed to protect your data by not logging prompts to training datasets. This is a critical feature for industries where data privacy is paramount. We use owned hardware, ensuring that your data is processed on dedicated servers that are not shared with other users, thereby reducing the risk of data breaches or unauthorized access. This approach is particularly beneficial for regulated industries that must adhere to strict data protection regulations such as HIPAA, GDPR, and others.
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We offer competitive pricing that is significantly lower than our competitors. Our plans include:
These plans provide a cost-effective solution for organizations of all sizes, from startups to large enterprises, ensuring that you can access the latest in AI technology without compromising on data privacy.
Integrating with our platform is straightforward. Our OpenAI-compatible API at /v1/chat uses Bearer token authentication, allowing you to easily integrate our services into your existing workflows. Here is a sample code snippet for integration:
import requests
url = 'https://zcx.zctechnologies.org/v1/chat'
headers = {
'Authorization': 'Bearer YOUR_BEARER_TOKEN',
'Content-Type': 'application/json'
}
data = {
'model': 'qwen2.5:72b',
'messages': [{'role': 'user', 'content': 'Hello, how can you assist me today?'}]
}
response = requests.post(url, headers=headers, json=data)
print(response.json())