Data and Privacy Statement

At MagnoliaEd, we are committed to protecting your privacy and ensuring the security of your personal information. This section outlines our approach to data handling and privacy protection.

Data Collection and Use

We collect only the information necessary to provide our educational services:

Account Information: Email address, name, and role (student, instructor, or administrator)
Learning Data: Course progress, assignments, and educational content interactions
Usage Analytics: Platform usage patterns to improve our services (anonymized)

Data Protection

Your data is protected through:

Access Controls: Strict access controls limit who can view your information
Regular Audits: We conduct regular security audits and assessments
FERPA Compliance: We maintain compliance with educational privacy regulations

Your Rights

You have the right to:

Access your personal data and request corrections
Request deletion of your account and associated data
Opt out of non-essential data collection
Receive a copy of your data in a portable format

We do not sell your personal information. We only share data:

With your explicit consent
As required by law or legal process

AI Data Privacy

MagnoliaEd utilizes AI technologies to enhance the educational experience. We are committed to ensuring that all AI-related data processing maintains the highest standards of privacy and security.

AI Models and Infrastructure

We use the following open-source AI models to power our educational features:

OpenAI GPT-OSS-120B (via Nitro optimization)
Google Gemma-3-12B-IT (via Nitro optimization)
Google Gemma-3-4B-IT (via Nitro optimization)

All models are accessed through DeepInfra’s inference APIs, chosen specifically for their strong data privacy protections.

Data Privacy During AI Inference

MagnoliaEd uses DeepInfra to ensure your data remains private during AI processing. According to DeepInfra’s data privacy policy:

“When using DeepInfra inference APIs, you can be sure that your data is safe. We do not store on disk the data you submit to our APIs. We only store it in memory during the inference process. Once the inference is done the data is deleted from memory.”

“We also don’t store the output of the inference process. Once the inference is done the output is sent back to you and then deleted from memory.”

Key Privacy Protections

No Data Storage: Your data is never stored on disk during AI processing
Memory-Only Processing: Data exists only in memory during inference and is immediately deleted afterward
No Training Use: Your data is not used to train or improve AI models
No Third-Party Sharing: Data is not shared with other parties during the inference process
Open Source Models: All AI models we use are based on open-source technologies

Why We Chose This Approach

We selected DeepInfra specifically because their infrastructure ensures that no personal data is stored anywhere in transit. This approach allows us to provide powerful AI-enhanced educational features while maintaining your privacy and ensuring compliance with educational data protection standards.

Contact Us

For privacy-related questions or to exercise your data rights, please contact our privacy team at info@magnoliaed.net or through our support channels.