India-Specific · University & Admin
AI API for EdTech IndiaBuilt for edtech founders.
The challenge
Founders struggle with generic LLM 'hallucinations' that deviate from prescribed NCERT or University textbooks, leading to inaccurate student guidance and high tokens costs when building custom RAG pipelines from scratch.
How AI Professor™ helps
The API provides ready-to-use RAG (Retrieval-Augmented Generation) mapped to Indian state boards and university curricula, allowing founders to deploy 'Coach Mode' for Socratic tutoring. It integrates automated exam grading and syllabus heatmaps directly into native apps, reducing engineering overhead for 24/7 doubt-clearance features.
Why edtech founders pick AI Professor™
Most "ai api for edtech india" pitches are a thin wrapper around a generic LLM. AI Professor™ is the opposite: deeply integrated with university & admin 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 the API handle the complexity of different Indian regional languages and accents?
The API utilizes fine-tuned multilingual models specifically trained on Indian linguistic nuances and Code-switching (Hinglish). This ensures that the 24x7 doubt clearance feature remains effective for students in Tier 2 and Tier 3 cities who may use a mix of vernacular and English.
Can the AI API be restricted to only answer from specific university-prescribed textbooks?
Yes, through localized RAG (Retrieval-Augmented Generation), the API restricts responses to a 'walled garden' of verified content. Founders can upload specific PDF textbooks or syllabus documents, ensuring the AI does not provide out-of-syllabus information that could confuse students during exam preparation.
What are the latency expectations for real-time doubt clearing in high-traffic periods?
The infrastructure is optimized for sub-second token generation to provide a seamless 'Coach Mode' experience. During peak hours, such as the night before board exams, the distributed server architecture maintains low latency, preventing the common bottleneck of API timeouts seen in standard global endpoints.
Does the API support automated subjective answer grading for Indian internal assessments?
The API includes specific endpoints for descriptive response evaluation. By comparing student answers against a provided marking scheme or model answer, it can generate automated grades and constructive feedback, significantly reducing the manual workload for university administrators and teaching assistants.