Core Features · Brand & Ecosystem
Coaching white label AIBuilt for mega coaching owners.
The challenge
Mega coaching owners struggle with brand dilution and teaching quality variance when scaling across cities, often losing intellectual property to third-party platforms that aggregate their content for competitors.
How AI Professor™ helps
The white-label ecosystem secures your IP through localized RAG (Retrieval-Augmented Generation) on your specific textbooks, ensuring the AI never suggests outside methods. It centralizes control with parent dashboards and automated exam grading, allowing you to provide 24X7 doubt clearance under your own institute's name and interface.
Why mega coaching owners pick AI Professor™
Most "coaching white label ai" pitches are a thin wrapper around a generic LLM. AI Professor™ is the opposite: deeply integrated with brand & ecosystem 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
Syllabus-aware, exam-pattern aware, with a mandatory safety layer and per-institution admin controls.
Frequently asked questions
How does white-labeling prevent students from using generic AI like ChatGPT?
Generic AI often provides solutions using methods that do not align with JEE or NEET shortcuts taught in your modules. A white-labeled AI Professor instance is locked to your specific PDFs and video transcripts, ensuring that 24x7 doubt clearance remains pedagogicaly consistent with your classroom delivery.
Can we integrate this into our existing mobile application or LMS?
Yes, the white-label solution is delivered via robust API endpoints or a standalone web-app wrapper. This allows Mega Coaching owners to embed the AI tutor directly into their existing Android or iOS ecosystems, maintaining a seamless user experience without requiring students to download external apps.
Is our proprietary content used to train public AI models?
No. Data security is prioritized through private instances where your material is indexed specifically for your brand's RAG pipeline. Your intellectual property—including proprietary test banks and specialized notes—is never fed back into the global training sets of OpenAI or other large language model providers.
Does the white-label AI support regional languages for pan-India expansion?
The platform supports multi-lingual capabilities including Hindi, Marathi, and Tamil, allowing large institutes to scale into Tier-2 and Tier-3 cities. This ensures that while the branding remains corporate and centralized, the AI can assist students in their native language using the institute's primary English-medium content.