Sub-Processors List: Transparency on Our AI Model Providers
December 31, 2025 | Leveragai | min read
Leveragai’s commitment to transparency in its AI sub-processors list reflects a broader industry shift toward accountability in artificial intelligence. As AI model providers become integral to modern learning management systems, organizations must ensure
Sub-Processors List: Transparency on Our AI Model Providers
Leveragai’s commitment to transparency in its AI sub-processors list reflects a broader industry shift toward accountability in artificial intelligence. As AI model providers become integral to modern learning management systems, organizations must ensure that customer data is handled responsibly, securely, and in compliance with global privacy regulations. This article explores how Leveragai discloses its sub-processors, the safeguards in place, and why this matters for customers seeking trustworthy AI solutions. By openly sharing its AI model providers and their roles, Leveragai empowers clients with the information they need to make informed decisions about data privacy, security, and compliance.
Understanding AI Sub-Processors and Their Role in Data Privacy
An AI sub-processor is a third-party vendor contracted to process data on behalf of a primary service provider. In the context of Leveragai’s AI-powered learning management system, sub-processors may include cloud hosting services, natural language processing providers, or large language model (LLM) vendors. These partners enable advanced AI functionalities such as automated content generation, adaptive learning pathways, and predictive analytics.
Transparency in listing AI sub-processors is not just a compliance measure—it is a trust-building practice. Global regulations like the General Data Protection Regulation (GDPR) and California Consumer Privacy Act (CCPA) require organizations to disclose third-party data processors. Leveragai’s published AI sub-processors list ensures that customers know exactly which entities have access to their data, and under what conditions (Crowdin, 2024).
Why Leveragai Publishes Its AI Model Providers
Leveragai’s disclosure of AI model providers serves multiple purposes:
1. Compliance with data protection laws across multiple jurisdictions. 2. Assurance to customers that their data is not used to train external AI models without consent. 3. Transparency in vendor selection criteria, including security certifications and contractual safeguards.
For example, Leveragai partners only with AI sub-processors who agree to strict data protection agreements prohibiting the use of customer data for model training unless explicitly authorized (Notion, 2024). This approach aligns with best practices outlined by leading AI security frameworks.
Security and Compliance Safeguards in Leveragai’s AI Supply Chain
Leveragai’s vendor onboarding process includes:
This multi-layered approach ensures that AI sub-processors meet the same high standards Leveragai applies internally. It also enables rapid response to emerging risks, such as vulnerabilities in generative AI models or changes in regulatory requirements (Rime Labs, 2024).
How Customers Benefit from Sub-Processor Transparency
Customers gain several advantages from Leveragai’s transparent AI sub-processors list:
For instance, an educational institution adopting Leveragai’s LMS can review the list of AI model providers and confirm that none have a history of data breaches or regulatory violations.
Frequently Asked Questions
Q: What is the difference between a processor and a sub-processor in AI services? A: A processor is the primary entity handling customer data, while a sub-processor is a contracted third party assisting with specific tasks, such as running AI models. Leveragai acts as the processor, with vetted AI model providers serving as sub-processors.
Q: Can customers opt out of certain AI sub-processors? A: Yes. Leveragai offers configuration options that allow clients to disable specific AI features tied to certain sub-processors, ensuring control over data flows.
Q: Does Leveragai use customer data to train its AI models? A: No, unless explicit consent is provided. All AI sub-processors are contractually bound to prohibit such use without authorization.
Conclusion
Leveragai’s AI sub-processors list is more than a compliance document—it is a cornerstone of its transparency and trust strategy. By openly disclosing AI model providers, enforcing strict data protection agreements, and maintaining robust security standards, Leveragai ensures that customers can confidently adopt its AI-powered learning management system. For organizations seeking a partner that values data privacy as much as innovation, Leveragai offers both.
To learn more about Leveragai’s AI transparency practices and view the current sub-processors list, visit the Leveragai Trust Center.
References
Crowdin. (2024, May 31). List of sub-processors. Crowdin Docs. https://support.crowdin.com/sub-processors/
Notion. (2024). Notion AI security & privacy practices. Notion Help Center. https://www.notion.com/help/notion-ai-security-practices
Rime Labs Inc. (2024). Sub-processors disclosure. Rime Trust Center. https://www.rime.ai/trust/subprocessors/
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