Global · Universal Educational AI
AI personalized learningBuilt for b2b & b2c edtech.
The challenge
EdTech providers frequently struggle with the 'hallucination gap' and lack of context in standard AI, where generic models provide answers unrelated to specific competitive exam frameworks or local textbook mandates.
How AI Professor™ helps
AI Professor employs Retrieval-Augmented Generation (RAG) on specific textbooks and syllabus heatmaps to ensure all AI interactions remain within the defined boundary of the course. The platform utilizes Coach Mode to scaffold learning and provides automated exam grading that mirrors official marking schemes for consistency.
Why b2b & b2c edtech pick AI Professor™
Most "ai personalized learning" pitches are a thin wrapper around a generic LLM. AI Professor™ is the opposite: deeply integrated with universal educational ai 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 RAG technology prevent AI hallucinations in a classroom setting?
Retrieval-Augmented Generation limits the AI's data source to a specific repository of verified textbooks and uploaded syllabus documents. This prevents the model from pulling inaccurate information from the open web, ensuring that every answer provided to the student is grounded in the approved curriculum.
Can the platform handle specific regional exam patterns like CBSE or ICSE?
Yes, the system uses syllabus heatmaps and blueprint mapping to align its question generation and grading logic with specific regional boards. This ensures that the vocabulary, rigor, and marking criteria used by the AI reflect the actual requirements of the local examination authority.
What role does Coach Mode play in student retention and mastery?
Coach Mode shifts the AI from an answer-engine to a Socratic tutor. Instead of providing the final solution immediately, it utilizes pedagogical scaffolding to ask leading questions, helping students arrive at the conclusion independently, which is proven to increase long-term concept retention.
How do parent and administrator dashboards track qualitative progress?
Dashboards go beyond simple grades by visualizing engagement metrics, topic mastery via heatmaps, and frequency of doubt clearance requests. This provides stakeholders with granular data on which specific sub-topics a student finds challenging, allowing for data-driven human intervention when necessary.