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Get Known, Get Clicked

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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 Gaps� Students memorize for exams but lack deep conceptual clarity.

4. Expensive Private Tuition� Quality academic support is costly and inaccessible for many families.

5. Lack of 24/7 Academic Support� Students 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

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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

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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

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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?

Note: This deck is just for your reference. Based on your

business/sector, modifications can be done.