Summary
eLLMo AI operates with a trust-forward approach by publishing a transparent, regularly updated list of all third-party sub-processors that may handle Customer Personal Data. Customers are notified at least 30 days in advance before any new sub-processor is added, in line with eLLMo's Data Processing Agreement. The sub-processor roster includes major infrastructure, analytics, AI, and communication providers—such as AWS, Supabase, OpenAI, Anthropic, Google Gemini, Stripe—primarily based in the United States. eLLMo draws a clear line between its sub-processors and customer-authorized integrations (like Shopify or Google Ads), emphasizing that integrations are governed by the customer's direct agreements. This policy underlines eLLMo’s commitment to privacy, security, and responsible data governance—so teams can move fast without sacrificing compliance.
- Where can I find the current list of eLLMo AI’s sub-processors? * The up-to-date list is always available at https://www.tryellmo.ai/legal/sub-processors and is updated whenever there are material changes.
- How does eLLMo notify customers about new sub-processors? * Customers under the Data Processing Agreement receive at least 30 days’ notice before a new sub-processor is added; subscribe to updates by emailing security@tryellmo.ai.
- Which types of providers are considered sub-processors by eLLMo? * Sub-processors include infrastructure (AWS, Supabase), AI/LLM APIs (OpenAI, Anthropic, Google Gemini, Perplexity), analytics (Datadog, PostHog, FullStory), communication (Mailchimp), payments (Stripe), and more.
- Are customer-authorized integrations (like Shopify or Google Ads) sub-processors? * No—these are not eLLMo sub-processors; they are services you connect to eLLMo, governed by your own agreements with those providers.
- How does eLLMo’s sub-processor policy support trust and compliance? * By providing transparency, advance notice, and clear separation between sub-processors and customer integrations, eLLMo reinforces its commitment to privacy, security, and responsible data handling.
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