Local deployment
A credible path for responsible introduction — designed for individual teachers today and broader institutional deployment.
For schools
A responsible path to AI-assisted teaching.
Local inference, understandable data flows and teacher control create a more governable foundation for schools.
For schools
AI that schools can actually govern.
A credible path for responsible introduction — designed for individual teachers today and broader institutional deployment.
Clear data flows
A credible path for responsible introduction — designed for individual teachers today and broader institutional deployment.
Managed installation and licensing
A credible path for responsible introduction — designed for individual teachers today and broader institutional deployment.
Teacher control by design
A credible path for responsible introduction — designed for individual teachers today and broader institutional deployment.
Privacy by architectureWorks offline.
Works offline.
Your classroom data stays on your device.
TeacherAIssistant is built to run AI locally on supported computers. Everyday classroom work does not need to be sent to an external AI service for inference.
- Local AI
Models run directly on supported devices. - Classroom data stays local
Sensitive teaching material does not need to leave the computer for everyday AI inference. - No pay-per-prompt workflow
Everyday use is not designed around API calls or token costs.
Internet access may still be used for software updates, model downloads and selected optional online services.
Local device
TeacherAIssistant
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Local AI model
Classroom data
Professional control
AI assists. Teachers decide.
TeacherAIssistant supports professional judgement. It does not replace it.
Draft
TeacherAIssistant prepares a result.
Review
You inspect, edit and adapt it.
Approve
Nothing becomes your teaching result until you decide it should.
Private beta
Request a school demoReady to get your time back?
TeacherAIssistant is currently in private beta, with commercial launch coming soon. We’re looking for teachers and schools who want to test real teaching workflows and help shape the final product.