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Last updated: 03 Feb 2026 At CoralOS, Inc. (“Coral”, “we”, “us”, or “our”), we are committed to protecting your personal information and your right to privacy. We want you to be fully informed about the information we collect, how it is used, shared, and protected, and the choices you have with it and explain the privacy and data practices at Coral. This privacy policy (the “Policy”) applies to all information collected through our website https://coralcloud.ai/ (the “Website”) and any related services, sales, marketing or events (referred collectively to as “Services”). If there are any terms in this Policy that you do not agree with, you should immediately discontinue the use of our Services. If you have questions or concerns about our practices in regards to your personal information, please contact us at cloudprivacy@coralos.ai and we’ll get back to you as soon as we can.

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When we collect personal information

We collect personal information when:
  • You sign up for our Services.
  • You visit or interact with our services, including by interacting with Agents, creating Sessions, API keys, or by sending it through the console or a connected application.
  • You add your email address to a separate waiting list
  • You engage with our support team or otherwise communicate with us.
  • You view or interact with our emails or other communications
Contact address for privacy matters: cloudprivacy@coralos.ai

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Types of personal information we collect

We collect the following categories of personal information:
  • Information you provide directly to us
    • Information when you register for an account, including if you sign in using Google credentials
    • Information from your interactions with our support team or inquiries into our Services, which may include providing us with your name, work or personal email, phone number, discord username or other social media link and time zone.
  • Our Website allows you to purchase our Services, including providing us with your credit card and billing information

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How we use collected personal information

We use the personal information that you give and we collect for the following purposes:
  • To provide our Services, including providing AI services.
  • For customer support by responding to your issue reports, questions or feedback.
  • To improve or troubleshoot any issues with our Services.
  • To communicate with you, such as sending you email or SMS updates about new features, products, and services.
  • To comply with our agreements or policies.
  • For other business and legal purposes, such as to detect and prevent fraud, to collect amounts owing to us, and to maintain business records.

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How we may disclose your information

We may disclose your information with your consent. We may also share your information with our corporate affiliates, as well as vendors or service providers who:
  • Process credit card or other payments and enable subscription Services.
  • Help us communicate with you.
  • Manage and optimize our Website and Services.
  • To measure website analytics, use of our applications, and to synchronize content with select third party websites or services.

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Your rights and how to exercise them

  • Access the personal information we maintain about you.
  • Delete the personal information we maintain about you, unless such information is necessary for compliance with our legal or regulatory obligations.
  • Correct inaccurate personal information we maintain about you.
  • Opt-Out of certain uses of your personal information. You can opt out of:
  • Email marketing: you may unsubscribe to our commercial email list by following the instructions provided in the email.
You can exercise these rights by contacting cloudprivacy@coralos.ai

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AI training

Coral does not train on your information. If we ever want to train AI models, or contribute to data sets that are used for training on information you provide in future, we will ask and compensate you for this. We consider the non-consensual training of models on users data to be equivalent to IP theft equivalent or more damaging than redistribution without permission. (Why does being against theft feel controversial in current times?) Where resources permit, we will also endeavour to choose models and services consistent with minimising the risk of IP theft of all data passing through our systems.