Global · Global Institutional & Tech
AI LMS integrationBuilt for edtech it admins.
The challenge
IT administrators frequently face data silo synchronization issues where student engagement in external AI tools remains invisible to the core LMS, leading to fragmented reporting and insecure RAG implementation.
How AI Professor™ helps
AI Professor integrates with institutional stacks to provide RAG-based textbooks and syllabus heatmaps that feed performance data back into the school’s database. It automates 24x7 doubt clearance and exam grading while ensuring all interactions remain within the institution's authenticated environment through secure tokens.
Why edtech it admins pick AI Professor™
Most "ai lms integration" pitches are a thin wrapper around a generic LLM. AI Professor™ is the opposite: deeply integrated with global institutional & tech workflows, with branding, rosters, syllabus, exams and admin controls every decision-maker recognises.
What's in the box
A branded portal, an AI Teacher persona for every subject, 24×7 doubt-clearance, auto-graded worksheets and exams, handwriting evaluation, parent dashboards in regional languages, and a real admin console — usage, safety incidents, faculty workload.
Pricing & deployment
from $0.99 per student per month. A 14-day pilot covers branding, syllabus loading, teacher onboarding and parent communication. Full rollout typically takes 4–6 weeks.
Compliance & safety
Built for IB, Cambridge IGCSE, AP and Common Core. EU/US/IN data-residency options. SOC 2 posture, GDPR-friendly.
Frequently asked questions
How does AI Professor maintain data sovereignty during LMS integration?
The platform utilizes a secure API layer that ensures student PII remains within the institutional perimeter. We support local RAG deployment where proprietary textbook data is processed without being used to train public foundation models, adhering to strict data residency requirements.
Does this integration support LTI 1.3 Advantage standards?
Yes, AI Professor is built on LTI 1.3 standards, allowing for deep linking and seamless grade passback. This ensures that when the AI grades an assignment or tracks syllabus progress, the results are automatically updated in the LMS gradebook and teacher dashboards.
What is the typical latency for RAG-based doubt clearance in a high-concurrency environment?
Our infrastructure is optimized for sub-2-second response times even during peak exam seasons. By utilizing edge caching and optimized vector database queries on syllabus-specific datasets, we minimize the token-processing lag common in generic LLM integrations.
Can the AI Professor parent dashboard be embedded into our existing school app?
The parent dashboard is available as a modular component that can be embedded via iframe or integrated via specialized webhooks. This allows schools to present real-time progress reports and syllabus heatmaps within their existing parent-facing portals without a separate login.