Institutional Trust Center

Sovereign. Secure. Compliant.

Elevating academic standards with the most robust, privacy-first AI infrastructure in Canadian higher education.

Data Residency & Sovereign Cloud

To safeguard institutional data and align with strict Canadian public sector requirements, EducAI enforces comprehensive cloud sovereignty. We prevent student profiles, institutional assets, and diagnostic logs from ever crossing international borders.

Local Sovereign Storage

All institutional data and vector embeddings are stored and processed strictly on the local institution's secure local servers. Data is local to the university as it is hosted locally.

PIPEDA & FIPPA Ready

Our localized parameters align perfectly with federal and provincial academic privacy regulations.

No Cross-Border Routing

We ensure zero exposure to foreign legislation or offshore legal discovery regimes.

Secure Encryption Standards

Data is protected at all times using advanced TLS 1.3 in transit and AES-256 at rest.

Zero-Third-Party Data Exposure

Commercial LLM providers utilize shared public APIs that ingest data for model refinement. EducAI protects your intellectual property with a custom local inference architecture where your records never exit our secure environments.

Local ONNX

Models execute locally using ONNX on the local machine inside secure Docker containers utilizing dedicated sovereign infrastructure.

No Commercial LLM Leaks

We make absolutely zero API calls to external services like OpenAI, Anthropic, or offshore hosts.

No Model Training

Your research, syllabus documents, and classroom scripts are never used to train open or base models.

Isolated Sandbox Containers

Each university operates in a strictly containerized system, keeping institutional data compartmentalized.

Academic Integrity & Pedagogy

We believe in maintaining rigorous educational standards. Rather than generating unpredictable syntheses from general web indexing, EducAI grounds all outputs explicitly in the authorized curriculum parameters defined by faculty.

LanceDB Local Vectors

We use LanceDB to securely catalog, index, and retrieve precise snippets from course documents.

Hallucination Mitigation

Our custom RAG context filters restrict responses solely to verified course text parameters.

Faculty-Control Panel

Professors maintain complete authority over references, with the power to easily adjust or purge content parameters.

Transparent Citations

Every response generated by our virtual TA cites the specific slides or textbook page used.