Explo AI is a series of features designed to improve the dashboard creation process and end-user dashboard interaction process by enlisting the power of large language models (LLMs). Explo utilizes state-of-the-art LLM APIs to provide this functionality to users.

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General FAQs

  • Today, Explo uses OpenAI APIs for its AI features, but reserves the right to use any LLM that is available via the public cloud or as a private hosted solution.
  • As of May 13th, the United States District Court Southern District of New York has ordered OpenAI to preserve and segregate all output log data that would otherwise be deleted on a going forward basis until further order of the court. Here is the court order. We will be following this closely.
  • As per OpenAI’s platform documentation here and community monitor comment here, the data fed into their API will not be used for training.

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Compliance Details

  • Customers need to opt-in to use AI features.
  • The OpenAI API is SOC 2 Type 2 compliant and has been audited by an independent third-party auditor against the 2017 Trust Services Criteria for Security.
    • Explo agrees to use LLM solutions that maintain Explo’s SOC 2 Type 2 compliance requirements.
  • Explo is potentially able to sign Business Associate Agreements in support of customers’ compliance with the Health Insurance Portability and Accountability Act (HIPAA). To qualify for this, you must have an Enterprise Agreement with OpenAI & Explo and a qualifying use case. Please reach out to the OpenAI sales team and the Explo team if you are interested.

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Levels of AI Usage

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Level 1: Schemas, Queries, Errors, DB Types

In Explo’s queries to LLM providers, we can expose:
  • table schemas (table names, column names, column type)
  • SQL queries
  • error messages
  • data source types
If there is data that falls in the items above that you would have concern with being exposed via an API call to an LLM provider, please reach out to Explo prior to using the AI features. As of July 14th, 2025, data source types was added to the list above. All customers who previously agreed to the acknowledgement have been notified appropriately.

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Level 2: Customer Data

In addition to the information in Level 1, Explo’s queries to LLM providers can also include:
  • customer data
The customer data that Explo can feed into the LLM can only and will only come from global datasets in the Data Library and local datasets in dashboards or report builders. Corresponding archetype variables will always be passed in to ensure that the data is segmented correctly.
Features that require Level 2 are in active development and have not been released yet.