India-Specific · Competitive Exams & Coaching
AI management entranceBuilt for mba tutors.
The challenge
Tutors spend excessive hours manually drafting high-yield Reading Comprehension passages and DILR sets that align with the shifting difficulty levels and patterns of Indian management entrance exams.
How AI Professor™ helps
The platform utilizes Coach Mode to provide 24x7 doubt clearance on complex quantitative aptitude problems while generating syllabus heatmaps to pinpoint student weaknesses. Tutors can upload specific reference materials for RAG-based analysis, ensuring the AI responses remain strictly within the current year's exam frameworks and grading standards.
Why mba tutors pick AI Professor™
Most "ai management entrance" pitches are a thin wrapper around a generic LLM. AI Professor™ is the opposite: deeply integrated with competitive exams & coaching 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
₹37 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
Aligned with NEP 2020, CBSE, ICSE and Indian State Boards. Indian data residency. Mandatory K-12 safety filter.
Frequently asked questions
How does AI Professor handle the ambiguity in CAT-level Verbal Ability?
The platform analyzes semantic structures and context within VA-RC sections by processing pedagogical datasets. It provides students with evidence-based reasoning for correct options, helping them understand nuances in 'most appropriate' answer choices rather than providing simple binary corrections.
Can I integrate my proprietary coaching material into the AI's knowledge base?
Yes, tutors can utilize the RAG (Retrieval-Augmented Generation) feature to upload their own specialized study modules and shortcut techniques. The AI then uses this specific data as the primary source for doubt clearance, ensuring the guidance aligns with the tutor's unique teaching methodology.
Does the system support the marking of short-answer TITA questions?
The AI Professor grading engine is calibrated to handle Type-In-The-Answer (TITA) formats, providing precise scoring for numerical and text-based entries. It tracks these across student dashboards to illustrate accuracy trends in sections where negative marking is absent.
Will using AI diminish the value of a physical coaching center?
AI acts as a force multiplier for tutors by automating repetitive tasks like basic formula verification and 2 a.m. doubt settlement. This allows human educators to focus on high-level strategic mentoring, mock test analysis, and personal interview (GD-PI) preparation for Top-B Schools.