FERPA-aligned AI for higher education and EdTech.

Why educational institutions choose private AI

Student records are FERPA-protected, and the consequences of a casual API integration include funding-eligibility risk. Beyond compliance, faculty and students need to trust that course content, drafts, and conversations aren't being absorbed into someone else's training pipeline.

Private AI keeps student data in your environment. Models run on infrastructure you control. Faculty intellectual property and student work never train an external model.

Where we focus

• Tutoring and course copilots grounded in your curriculum
• Student services: advising, financial aid, registrar workflows
• Faculty: course design, formative assessment, grading support
• Admissions and operations document automation
• Research: IR/IE assistants, grant writing support

FERPA posture

• Student data never leaves your environment. Inference runs inside your IT footprint.
• Educational records stay educational records. No exposure to model providers.
• Role-based retrieval. Advisors see advising context; faculty see course context; students see their own context.
• Configurable retention. Conversation logs respect your records-retention schedule.

How we engage

Most institutions start with an AI Pilot on a contained use case — a single course, a single department, or a single admin workflow. From there, Custom AI Build plus Private AI Deployment establish the institutional pattern that scales across departments. Training & Enablement is critical here: faculty and staff adoption is the difference between a successful AI program and a shelved one.