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Get Known, Get Clicked

Known Click Technologies Private Limited

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FLOW OF THE DECK

  • Company purpose
  • Problem
  • Solution
  • Why now
  • Market Size
  • Competition
  • Product Portfolio
  • Business Model
  • Team
  • Financials

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PROBLEM

1. One-Size-Fits-All Learning Students follow standardized teaching methods that ignore individual pace and understanding.

2. Limited Personal Attention High student-to-teacher ratios prevent personalized guidance.

3. Conceptual GapsStudents memorize for exams but lack deep conceptual clarity.

4. Expensive Private TuitionQuality academic support is costly and inaccessible for many families.

5. Lack of 24/7 Academic SupportStudents struggle outside classroom hours without real-time help.

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SOLUTION

AI-Powered Personalized Learning Assistant

A 24/7 intelligent academic support system designed for Indian curricula (CBSE/ICSE/State Boards) that provides:

1. Personalized Learning Paths� Adapts to each student’s pace, strengths, and weaknesses.

2. Instant Doubt Resolution� AI-driven explanations with step-by-step clarity — anytime, anywhere.

3. Concept-Focused Teaching� Breaks down complex topics into simplified, structured learning modules.

4. Performance Tracking & Insights� Monitors progress, identifies weak areas, and recommends targeted practice.

5. Affordable & Scalable Support� Delivers private-tutor level guidance at a fraction of the cost.

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WHY NOW

1. AI Adoption Has Become Mainstream� Students and parents are increasingly comfortable using AI-driven tools for learning.

2. Post-Pandemic Digital Learning Shift� Online and hybrid learning are normalized across India.

3. Rising Academic Competition� Pressure for performance in board exams and competitive exams is increasing.

4. Smartphone Penetration in India� Affordable internet and widespread smartphone access enable scalable reach.

5. High Cost of Private Tuition� Families are actively seeking affordable alternatives to traditional tutoring.

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MARKET SIZE

Demographics: Students in Classes 1–12 in India.�

Socio-economic segment: Middle and upper-middle-income families who can afford ₹299/month (~₹3,588/year) for supplemental learning or educational assistance.�

Geography: Urban and semi-urban India (initial focus), eventually pan-India.�

Needs: Academic assistance, structured learning, performance tracking, exam preparation.

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TAM (Top-Down)

  • Total students in Classes 1–12 (India, 2021–22): ~26 crore�
  • Urban & semi-urban population share (middle/upper-middle class families): ~30% → 7.8 crore students�
  • Average annual spend per student (₹299 × 12 months): ₹3,588�
  • TAM: 7.8 crore × ₹3,588 ≈ ₹28,000 crore/year

This represents the theoretical maximum market if every eligible student subscribes.

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SAM (Serviceable Available Market)

Assume targeting initial 15 metro & Tier-1 cities with high digital penetration (~15% of TAM): 1.17 crore students�

Annual spend per student: ₹3,588�

SAM: 1.17 crore × ₹3,588 ≈ ₹4,200 crore/year

This is the realistically reachable market in the near term, considering infrastructure, digital adoption, and affordability.

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SOM (Serviceable Obtainable Market)

Initial market penetration target: 1–2% of SAM in the first 2–3 years → 1.17 crore × 1.5% ≈ 1.75 lakh students�

Revenue: 1.75 lakh × ₹3,588 ≈ ₹62.8 crore/year

SOM reflects the achievable revenue in early years with targeted marketing, product-market fit, and sales strategy.

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Top Section – TAM (Total Addressable Market)

  • Students: 7.8 crore (Urban & semi-urban Classes 1–12, middle/upper-middle families)�
  • Revenue Potential: ₹28,000 crore/year�
  • Description: Entire eligible urban/semi-urban K–12 student base in India

Middle Section – SAM (Serviceable Available Market)

  • Students: 1.17 crore (Target 15 metro & Tier-1 cities)�
  • Revenue Potential: ₹4,200 crore/year�
  • Description: Students realistically reachable via digital channels in initial rollout�

Bottom Section – SOM (Serviceable Obtainable Market)

  • Students: 1.75 lakh (1–2% penetration of SAM)�
  • Revenue Potential: ₹62.8 crore/year�
  • Description: Early achievable market with targeted adoption

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COMPETITION

We operate at the intersection of affordability, curriculum accuracy, and AI-driven personalization — where traditional edtech and generic AI tools both fall short.

  • Unlike coaching platforms (Byju’s, PhysicsWallah), we provide on-demand, adaptive 1:1 academic guidance without live-class dependency or high cost.�
  • Unlike generic AI tools (ChatGPT, Gemini), we deliver syllabus-mapped, exam-focused responses with structured progress tracking.�

Positioning: A curriculum-aligned AI academic mentor — not a content library, not a chatbot.

Where We Operate

We sit at the intersection of:� Affordability + Curriculum Accuracy + AI Personalization

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PRODUCT PORTFOLIO

Product: AI Academic Mentor (Web & Mobile)

  • Purpose: Personalized, curriculum-aligned academic guidance for K–12 students at scale

Core Capabilities

  • Board-mapped syllabus intelligence – Complete coverage of CBSE, ICSE, and State Boards�
  • RAG-powered contextual doubt solving – Instant, relevant answers to student queries�
  • Adaptive study plans & performance tracking – Personalized learning paths for each student�
  • Cost-optimized LLM architecture – Scalable AI with low operational cost

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IP & Moat

  • Structured curriculum knowledge base – Proprietary academic content framework�
  • Proprietary retrieval + prompt framework – AI delivers precise, contextual answers�
  • Growing student performance dataset – Continuous improvement & personalization

Development Roadmap

  • Now: Core AI tutor + paid subscription model live�
  • Next: Retention engine – adaptive testing, streaks, parent dashboards�
  • Scale: School partnerships + multi-board expansion�
  • Moat: Data-driven personalization strengthens with every user interaction

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BUSINESS MODEL

Business Revenue Model

Subscription-based AI academic mentor (B2C), with future expansion into school partnerships (B2B2C).

Pricing

Planned: ₹299/month� Annual discounted plans to increase retention and upfront cash flow.

Expected Unit Economics (Post-Launch Targets)

  • Target CAC: < ₹800�
  • Target retention: 6–9 months�
  • Target LTV: ₹1,800–₹2,700�
  • Target gross margin: 65–80% (optimized LLM usage)

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TEAM

Hiral Valand

Founder & Head of Sales

  • 8+ years in revenue strategy, B2B/B2C sales & market expansion�
  • Built and scaled digital service verticals from zero to active revenue�
  • Full-cycle sales ownership: pipeline → negotiation → closure → retention�
  • Multilingual (EN / HI / GU / RU) enabling CIS & international market access�
  • Leads sales, partnerships, positioning & go-to-market at KCT�

Strength: Commercial execution — converts strategy into signed contracts and sustained revenue.

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Amit Goyal

Co-Founder & Lead Technologist

  • 15+ years in systems architecture & scalable infrastructure�
  • Built and sold a proprietary financial software product (800+ verified global sales)�
  • Deployed 50+ production-grade Linux environments with 99.9% uptime�
  • Architect of cost-optimized AI & automation systems�
  • Leads technology vision, infrastructure, and AI integration at KCT�

Strength: Full-stack execution — from server provisioning to product sales and revenue optimization.

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Founding Team – Combined Strength

Amit Goyal – Technology & Infrastructure Depth Capital-efficient systems architect. Proven product builder (800+ global sales). Deep DevOps + AI execution.

Hiral Valand – Revenue & Market Execution Sales strategist. Negotiator. Pipeline builder. Cross-border commercial operator.

Together: Technical control + revenue control.� Product + distribution.� Cost discipline + commercial expansion.

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FINANCIALS

Revenue Projection (Year 1–3)

Assumptions

  • Price: ₹299/month�
  • Avg retention: 6–9 months�
  • Target Year 1 users: 1,500–2,000

Projected Revenue

  • Year 1: ₹30–40 lakh�
  • Year 2: ₹2–3 crore (scale via partnerships)�
  • Year 3: ₹8–12 crore

(Based on increasing paid users + retention optimization)

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Cost Structure

Major Costs

  • AI infrastructure (LLM usage)�
  • Cloud hosting�
  • Marketing (CAC)�
  • Team salaries�

Target Gross Margin: 65–80%� (Because infra is optimized, not bloated SaaS spending)

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Cash Flow Strategy

  • Lean operating structure�
  • Founder-led early execution�
  • CAC disciplined below ₹800�
  • Annual plans improve upfront cash�

Goal: Break-even within 18–24 months.

Cap Table (Current)

  • Founders: 100%�
  • No external equity issued�
  • No institutional dilution

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ANY QUESTIONS?

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