Core Features · Brand & Ecosystem
AI as a service educationBuilt for institutional buyers.
The challenge
Institutional buyers struggle with the high technical debt and data privacy risks associated with integrating generic LLMs that lack alignment with the NCERT/CBSE syllabus and institutional data silos.
How AI Professor™ helps
The platform provides 'AI as a Service' by applying Retrieval-Augmented Generation (RAG) directly to an institution's sanctioned textbooks and local curriculum. It features syllabus heatmaps to identify learning gaps and automated exam grading that adheres to specific institutional marking schemes, ensuring pedagogical consistency.
Why institutional buyers pick AI Professor™
Most "ai as a service education" 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 AI Professor maintain data sovereignty for Indian educational institutions?
The platform utilizes localized hosting and strict data encryption protocols to ensure that student performance metrics and institutional intellectual property remain within the geographical and legal jurisdiction of India, meeting all UDISE+ and NEP 2020 compliance requirements.
Can the AI be restricted to only use specific board-approved textbooks?
Yes, through RAG (Retrieval-Augmented Generation), the AI is grounded exclusively in the specific textbooks and supplementary materials provided by the institution, effectively preventing the 'hallucinations' common in general-purpose AI models like ChatGPT.
What is the implementation timeline for integrating AI as a Service into an existing ERP?
The ecosystem is designed for rapid deployment via API integrations, typically requiring four to six weeks to ingest institutional data, map the specific syllabus, and activate the parent and teacher dashboards for full campus-wide operation.
How does 'Coach Mode' differ from standard automated chat functions?
Unlike standard bots that provide direct answers, Coach Mode uses Socratic questioning techniques to lead students through a multi-step problem-solving process. This ensures that the AI functions as a pedagogical aid that facilitates deep learning rather than a shortcut for homework completion.