Slide 1
Cover

Tutorvi

Turn any curriculum, textbook, or prep material into a live AI voice tutor in minutes.
We help schools, coaching centers, and education companies launch personalized AI tutors from their own content — without building AI infrastructure themselves.
Slide 2
Problem

Students need personalized help. Institutions cannot provide it at scale.

Teacher shortage

Learners do not get enough one-on-one time, especially outside class hours.

Static content

Schools and prep centers already have valuable content, but it sits in PDFs, docs, and videos.

Generic AI tools

Chatbots are not institution-specific, not curriculum-aligned, and do not feel like a true tutor.

Slide 3
Solution

Tutorvi turns existing learning content into AI voice tutors.

Simple product flow
Upload → Launch → Learn
  • Upload curriculum documents, study material, or internal learning content
  • Tutorvi structures the material and creates a tutor grounded in that content
  • Students interact by voice in real time, with personalized explanations and follow-ups
  • Institutions monitor usage, progress, and learning outcomes
Slide 3
Solution

Tutorvi turns existing learning content into AI voice tutors.

Simple product flow
Upload → Launch → Learn
  • Upload curriculum documents, study material, or internal learning content
  • Tutorvi structures the material and creates a tutor grounded in that content
  • Students interact by voice in real time
  • Institutions monitor usage and learning outcomes
Slide 4
Product

A fully working product, not a concept.

  • Real-time voice interactions
  • Grounded on uploaded curriculum and documents
  • Multi-language support
  • Safety guardrails and output controls
  • Personalized tutoring methodologies
  • Institution-facing onboarding and management workflow
Slide 4
Product

A fully working product, not a concept.

  • Real-time voice interactions
  • Grounded on uploaded curriculum and documents
  • Multi-language support
  • Safety guardrails and output controls
  • Personalized tutoring methodologies
Slide 5
Why now

Voice AI and LLM quality finally make real-time tutoring viable.

LLMs got good enough

Reasoning, follow-up explanation, and adaptive tutoring are finally usable in production.

Voice UX got natural

Students can now speak instead of type, which feels closer to real tutoring.

Institutions want AI

But most schools and prep centers do not want to build the stack themselves.

Slide 6
Market

Start with institutions that already own content and already sell learning outcomes.

Initial ICP

  • Test prep and coaching centers
  • Schools and after-school learning programs
  • Professional certification providers

Market sizing

TAM: $200B+ global EdTech market (growing to $450B+ by 2030)

SAM: $10B–$25B tutoring + AI tutoring market (online tutoring ~$12.6B, AI tutors $1.6B → $8B by 2030)

SOM: $100M+ first wedge — 10K coaching centers & schools × $1K/month = $120M ARR

Slide 7
Business model

Institutions pay Tutorvi to launch and run AI tutors on top of their content.

Setup / onboarding

Optional: $X one-time implementation fee

Recurring SaaS

$500–$2K/month per institution (or per student batch)

Usage-based expansion

Usage-based pricing for voice minutes or active learners

Our wedge is B2B. Once the institution is onboarded, distribution to learners comes bundled with the institution’s existing trust and content.
Slide 8
Traction

Early usage shows people want this.

7
school signups
6K
curriculum documents ready to learn
28
simultaneous voice interactions

Engagement

Average time spent per session: 8 minutes. Add retention, repeat sessions, and weekly growth here.

What to add next

  • Month-over-month growth
  • DAU / WAU or active learners
  • Revenue or pilots in progress
  • Best customer quote
Slide 9
Go-to-market

Sell where content already exists and tutoring already matters.

Initial GTM motion

  • Direct outreach to coaching centers and private institutions
  • Founder-led demos using the institution’s own material
  • Fast pilot → paid rollout across batches or campuses

Expansion motion

  • Add more subjects and more tutors per institution
  • Launch white-labeled tutors for admissions and prep programs
  • Upsell analytics, dashboards, and learner progress reporting
Slide 10
Competition

Others offer generic AI help. Tutorvi lets institutions launch their own tutor.

Generic tools

  • Great at answering questions
  • Weak on curriculum ownership, institution-specific control, and deployment workflow

Tutorvi advantage

  • Launch tutors from proprietary content
  • Voice-first learner experience
  • Institution onboarding and control layer
  • Learning-focused product, not a general chatbot
Our competition is not “all AI.” Our real competition is institutions doing nothing because launching an AI tutor still feels too hard.
Slide 11
Moat

The moat is in deployment, workflow, and learning feedback loops.

Content-to-tutor pipeline

Reliable ingestion, grounding, and tutor creation from messy real-world educational content.

Voice + low latency

Fast enough to feel like tutoring, not a laggy chatbot.

Institution data loop

Usage, weak-topic signals, and progress data improve retention and increase switching costs.

Slide 12
Team

We built the product because we have the technical depth and business conviction to do it.

Santosh Ganji, PhD

Expert in full-stack AI and post-training systems. PhD from Texas A&M. Built the technical foundation for Tutorvi.

Sid Kamepalli, MBA

A decade of business leadership. MBA from Notre Dame. Driving distribution, partnerships, and commercial execution.

Slide 13
The ask

We are raising $600K to scale Tutorvi from early adoption to repeatable institutional revenue.

Use of funds

  • Grow engineering and product
  • Expand pilots into paid deployments
  • Improve analytics, voice quality, and onboarding

Milestones

  • 30–50 paying institutions
  • $30K–$50K MRR
  • 10K+ active learners