Pitch Deck - Context Intelligence Platform
Multi-Slide Presentation (15 slides)
Format: Designed for 10-minute pitch + 5-minute Q&A Audience: Seed investors, accelerators, strategic partners Ask: $2M Seed Round
Slide 1: Title / Cover
╔══════════════════════════════════════════════════════════╗
║ ║
║ CONTEXT INTELLIGENCE PLATFORM ║
║ ║
║ Turn AI Conversations Into ║
║ Institutional Knowledge ║
║ ║
║ ─────────────────────────────────── ║
║ ║
║ Hal Casteel, Founder/CEO/CTO ║
║ hal@az1.ai ║
║ ║
║ Raising: $2M Seed ║
║ November 2025 ║
║ ║
╚══════════════════════════════════════════════════════════╝
Speaker Notes: "Good morning. I'm Hal Casteel, and I'm here to talk about a $26 billion problem that's hiding in plain sight—developers are losing critical knowledge in their AI conversations."
Slide 2: The Problem
╔══════════════════════════════════════════════════════════╗
║ THE PROBLEM ║
║ ────────────────────────────────────────────────── ║
║ ║
║ Developers Have 50+ AI Conversations Daily... ║
║ But All Context Disappears ║
║ ║
║ 📊 PAIN POINTS: ║
║ ║
║ ⏰ 2-3 hours/day wasted re-asking questions ║
║ ║
║ 🔍 No way to search past AI conversations ║
║ ║
║ 🤷 Managers can't see what teams are building ║
║ ║
║ ⚠️ No audit trail for AI-generated code ║
║ ║
║ 💸 $50-100/month on AI tools, zero ROI tracking ║
║ ║
╚══════════════════════════════════════════════════════════╝
Speaker Notes: "Every developer using Claude, Copilot, or Cursor has the same problem. They have great conversations with AI, but 24 hours later, that knowledge is gone. They're spending 2-3 hours every day re-asking the same questions."
Slide 3: Market Size
╔══════════════════════════════════════════════════════════╗
║ MASSIVE MARKET OPPORTUNITY ║
║ ────────────────────────────────────────────────── ║
║ ║
║ ┌────────────────────────────────────────────────┐ ║
║ │ TAM: $14.7B │ ║
║ │ 100M developers × $180/year (blended) │ ║
║ └────────────────────────────────────────────────┘ ║
║ ║
║ ┌────────────────────────────────────────────────┐ ║
║ │ SAM: $900M │ ║
║ │ 5M developers at tech companies │ ║
║ └────────────────────────────────────────────────┘ ║
║ ║
║ ┌────────────────────────────────────────────────┐ ║
║ │ SOM (Year 3): $36M │ ║
║ │ 200K users, 4% market share │ ║
║ └────────────────────────────────────────────────┘ ║
║ ║
║ 📈 GenAI Market: $26B by 2030 (42% CAGR) ║
║ 👨💻 AI Assistant Adoption: 65% of developers (2025) ║
║ ║
╚══════════════════════════════════════════════════════════╝
Speaker Notes: "This is a massive market. 65% of developers—65 million people—are now using AI assistants daily. That's a $14.7 billion total market, and we're creating a brand-new category."
Slide 4: The Solution
╔══════════════════════════════════════════════════════════╗
║ OUR SOLUTION ║
║ ────────────────────────────────────────────────── ║
║ ║
║ Context Intelligence Platform ║
║ The First AI Conversation Memory System ║
║ ║
║ 🔹 SAVE ║
║ Automatically capture conversations from any ║
║ AI assistant (Claude, GPT, Gemini, Copilot) ║
║ ║
║ 🔹 SEARCH ║
║ Hybrid keyword + semantic search ║
║ Find "authentication bug" → matches "JWT issues" ║
║ ║
║ 🔹 LINK ║
║ Auto-correlate conversations → git commits ║
║ Complete audit trail: AI chat → code change ║
║ ║
║ 🔹 ANALYZE ║
║ Team dashboards: productivity, adoption, ROI ║
║ Executive insights: prove AI is working ║
║ ║
╚══════════════════════════════════════════════════════════╝
Speaker Notes: "We built the first AI conversation memory system. Four core capabilities: Save all your AI conversations automatically. Search them with AI-powered hybrid search. Link conversations to git commits for complete traceability. And analyze team patterns to measure ROI."
Slide 5: Product Demo (Visual)
╔══════════════════════════════════════════════════════════╗
║ PRODUCT DEMO ║
║ ────────────────────────────────────────────────── ║
║ ║
║ ┌─────────────────────────────────────────────┐ ║
║ │ Search: "authentication bug" 🔍 │ ║
║ └─────────────────────────────────────────────┘ ║
║ ║
║ 📄 JWT Token Expiration Discussion ║
║ Oct 15, 2025 • 15 messages • Claude Code ║
║ ↳ Linked to: fix: Resolve JWT expiry bug ║
║ Commit by @jane • Oct 15, 10:30 AM ║
║ ║
║ 📄 Security Vulnerability in Auth Module ║
║ Oct 10, 2025 • 23 messages • GitHub Copilot ║
║ ↳ Linked to: 2 commits ║
║ ║
║ 📄 Password Reset Flow Implementation ║
║ Oct 5, 2025 • 12 messages • Cursor ║
║ ↳ No commits (work in progress) ║
║ ║
║ 💡 Relevance: 95% • Response Time: 43ms ║
║ ║
╚══════════════════════════════════════════════════════════╝
Speaker Notes: "Here's what it looks like. Type 'authentication bug' and instantly see related conversations—even if they used different words like 'JWT security.' Each conversation shows linked commits, so you can trace AI discussions directly to code changes."
Slide 6: How It Works (Technical)
╔══════════════════════════════════════════════════════════╗
║ HOW IT WORKS ║
║ ────────────────────────────────────────────────── ║
║ ║
║ 1️⃣ CAPTURE ║
║ • Browser extension (Chrome, Firefox) ║
║ • IDE plugins (VS Code, IntelliJ) ║
║ • API integrations (Claude, OpenAI) ║
║ ║
║ 2️⃣ STORE ║
║ • PostgreSQL (conversations, users, commits) ║
║ • Weaviate (vector embeddings for semantic search) ║
║ • Multi-tenant isolation (RLS database security) ║
║ ║
║ 3️⃣ SEARCH ║
║ • Hybrid algorithm: Keyword + Semantic ║
║ • RRF fusion (best-in-class relevance) ║
║ • <100ms response time (p95) ║
║ ║
║ 4️⃣ CORRELATE ║
║ • GitHub/GitLab webhooks ║
║ • 3-signal scoring: temporal + semantic + explicit ║
║ • Auto-link conversations → commits ║
║ ║
╚══════════════════════════════════════════════════════════╝
Speaker Notes: "The technical architecture is battle-tested. We capture conversations via browser extensions and IDE plugins. Store them in a hybrid database—PostgreSQL for structured data, Weaviate for AI-powered search. Then automatically correlate conversations to git commits using a proprietary 3-signal algorithm."
Slide 7: Business Model
╔══════════════════════════════════════════════════════════╗
║ BUSINESS MODEL ║
║ ────────────────────────────────────────────────── ║
║ ║
║ ┌─────────────────────────────────────────────────┐ ║
║ │ STARTER FREE │ ║
║ │ ──────────────────────────────────────── │ ║
║ │ • 100 conversations/month │ ║
║ │ • Keyword search │ ║
║ │ • 1 user │ ║
║ │ │ ║
║ │ TARGET: Individual developers (acquisition) │ ║
║ └─────────────────────────────────────────────────┘ ║
║ ║
║ ┌─────────────────────────────────────────────────┐ ║
║ │ PRO $15/user/month │ ║
║ │ ──────────────────────────────────────── │ ║
║ │ • Unlimited conversations │ ║
║ │ • Semantic search (AI-powered) │ ║
║ │ • API access │ ║
║ │ │ ║
║ │ TARGET: Professional developers, small teams │ ║
║ └─────────────────────────────────────────────────┘ ║
║ ║
║ ┌─────────────────────────────────────────────────┐ ║
║ │ ENTERPRISE $50/user/month │ ║
║ │ ──────────────────────────────────────── │ ║
║ │ • SSO, compliance (SOC 2, GDPR) │ ║
║ │ • On-premise deployment │ ║
║ │ • Dedicated support │ ║
║ │ │ ║
║ │ TARGET: Fortune 500, tech unicorns │ ║
║ └─────────────────────────────────────────────────┘ ║
║ ║
╚══════════════════════════════════════════════════════════╝
Speaker Notes: "Classic freemium SaaS model. Free tier for acquisition and viral growth. Pro tier at $15/month for individual power users. Enterprise at $50/month for large organizations with compliance needs. This pricing captures value at every stage—from student to Fortune 500."
Slide 8: Traction / Roadmap
╔══════════════════════════════════════════════════════════╗
║ TRACTION & ROADMAP ║
║ ────────────────────────────────────────────────── ║
║ ║
║ ✅ COMPLETED (Q4 2025) ║
║ • Complete technical architecture (SDD) ║
║ • Database schema & API design ║
║ • Security model (SOC 2 ready) ║
║ • Test-driven development plan ║
║ ║
║ 🚀 NEXT 6 MONTHS (Seed Funded) ║
║ • Alpha: 100 invite-only users ║
║ • Beta: 1,000 public users ║
║ • First enterprise pilot ║
║ • Hire 2 engineers + 1 designer ║
║ ║
║ 📊 12-MONTH TARGETS ║
║ • 10,000 users (free + paid) ║
║ • $180K ARR (100 team customers) ║
║ • NPS > 50 ║
║ • 3 enterprise LOIs ║
║ ║
║ 🎯 18-MONTH TARGETS (Series A) ║
║ • $1.8M ARR (10x growth) ║
║ • 10 enterprise customers ║
║ • SOC 2 Type II certified ║
║ ║
╚══════════════════════════════════════════════════════════╝
Speaker Notes: "We've completed the hard part—the architecture is done. With this $2M seed, we'll launch alpha in 3 months, beta in 6 months, and hit $180K ARR in 12 months. That sets us up for a $10M Series A at $40M valuation with $1.8M ARR."
Slide 9: Revenue Projections
╔══════════════════════════════════════════════════════════╗
║ 5-YEAR REVENUE PROJECTIONS ║
║ ────────────────────────────────────────────────── ║
║ ║
║ ARR ║
║ │ ║
║ $90M│ ● ║
║ │ ╱ ║
║ $36M│ ● ╱ ║
║ │ ╱ ╱ ║
║ $9M│ ● ╱ ╱ ║
║ │ ╱ ╱ ╱ ║
║ $1.8M│ ● ╱ ╱ ╱ ║
║ │ ╱ ╱ ╱ ╱ ║
║$180K│ ● ╱ ╱ ╱ ║
║ │ ╱ ╱ ╱ ╱ ║
║ └─────────────────────────────────────→ ║
║ Y1 Y2 Y3 Y4 Y5 Year ║
║ ║
║ Users: 1K 10K 50K 200K 500K ║
║ Growth: - 10x 5x 4x 2.5x ║
║ ║
║ 💰 Gross Margin: 85% (SaaS standard) ║
║ 📊 LTV/CAC: 5:1 (industry-leading) ║
║ ║
╚══════════════════════════════════════════════════════════╝
Speaker Notes: "Conservative projections show $90M ARR by Year 5 with 500K users. We're modeling 85% gross margins—standard for SaaS—and a 5:1 LTV/CAC ratio, which is industry-leading. These numbers assume zero virality and organic growth only."
Slide 10: Unit Economics
╔══════════════════════════════════════════════════════════╗
║ UNIT ECONOMICS ║
║ ────────────────────────────────────────────────── ║
║ ║
║ CUSTOMER ACQUISITION COST (CAC) ║
║ ─────────────────────────────────────────────────── ║
║ Organic/Viral: $10 (PLG) ║
║ Content Marketing: $50 (SEO, blog) ║
║ Inside Sales: $500 (team tier) ║
║ Enterprise Sales: $50,000 (Fortune 500) ║
║ ║
║ Blended CAC (Year 1): $150 ║
║ Blended CAC (Year 3): $300 ║
║ ║
║ LIFETIME VALUE (LTV) ║
║ ─────────────────────────────────────────────────── ║
║ Individual (Pro): $540 (3-year retention) ║
║ Team (Pro): $9,000 (5-year retention) ║
║ Enterprise: $420,000 (7-year retention) ║
║ ║
║ Blended LTV (Year 1): $540 ║
║ Blended LTV (Year 3): $5,000 ║
║ ║
║ LTV/CAC RATIOS ║
║ ─────────────────────────────────────────────────── ║
║ Individual: 54:1 ✅ Excellent ║
║ Team: 18:1 ✅ Excellent ║
║ Enterprise: 8:1 ✅ Healthy ║
║ ║
╚══════════════════════════════════════════════════════════╝
Speaker Notes: "Unit economics are phenomenal. Our blended LTV/CAC ratio starts at 3.6:1 and grows to 16:1 by Year 3. For context, anything above 3:1 is considered healthy for SaaS. We're crushing it across all segments."
Slide 11: Competitive Landscape
╔══════════════════════════════════════════════════════════╗
║ COMPETITIVE LANDSCAPE ║
║ ────────────────────────────────────────────────── ║
║ ║
║ 🔴 DIRECT COMPETITORS: NONE ║
║ (AI conversation management is a new category) ║
║ ║
║ ⚪ INDIRECT COMPETITORS: ║
║ ║
║ GitHub Copilot ❌ No conversation search ║
║ ❌ Single-provider lock-in ║
║ ✅ We integrate with them ║
║ ║
║ Notion/Confluence ❌ Not for AI content ║
║ ❌ Manual entry required ║
║ ✅ We auto-capture ║
║ ║
║ ChatGPT Teams ❌ OpenAI-only ║
║ ❌ No git integration ║
║ ✅ We support all LLMs ║
║ ║
║ 🟢 OUR MOAT: ║
║ ✅ First-mover advantage (12-18 month lead) ║
║ ✅ Network effects (more conversations = better) ║
║ ✅ Data moat (proprietary correlation algorithm) ║
║ ✅ Integration lock-in (IDE + Git + AI) ║
║ ✅ Category ownership ("AI conversation mgmt") ║
║ ║
╚══════════════════════════════════════════════════════════╝
Speaker Notes: "This is a greenfield opportunity. There are literally zero direct competitors right now. GitHub could build this, but they're focused on Copilot, not conversation management. We're defining the category, and we have a 12-18 month head start if anyone tries to catch up."
Slide 12: Go-To-Market Strategy
╔══════════════════════════════════════════════════════════╗
║ GO-TO-MARKET STRATEGY ║
║ ────────────────────────────────────────────────── ║
║ ║
║ PHASE 1: PRODUCT-LED GROWTH (Months 1-6) ║
║ ─────────────────────────────────────────────────── ║
║ Target: Individual developers ║
║ Channels: Product Hunt, Twitter, Reddit, HN ║
║ Goal: 1,000 users, 20% Pro conversion ║
║ Budget: $50K ║
║ ║
║ PHASE 2: TEAM EXPANSION (Months 7-12) ║
║ ─────────────────────────────────────────────────── ║
║ Target: Engineering teams (5-50 devs) ║
║ Channels: Inside sales, webinars, referrals ║
║ Goal: 100 teams, $180K ARR ║
║ Budget: $150K ║
║ ║
║ PHASE 3: ENTERPRISE SALES (Year 2+) ║
║ ─────────────────────────────────────────────────── ║
║ Target: Fortune 500, tech unicorns ║
║ Channels: Direct sales, partnerships ║
║ Goal: 10 enterprise customers, $1.8M ARR ║
║ Budget: $400K ║
║ ║
║ 📊 TOTAL GTM INVESTMENT: $600K over 18 months ║
║ ║
╚══════════════════════════════════════════════════════════╝
Speaker Notes: "Classic PLG motion. We start with developers—free tier, viral sharing, Product Hunt launch. Convert them to Pro at $15/month. Then when 3+ users from the same company sign up, we upsell to team tier. Finally, enterprise sales kicks in at 20+ users."
Slide 13: Team
╔══════════════════════════════════════════════════════════╗
║ TEAM ║
║ ────────────────────────────────────────────────── ║
║ ║
║ 👨💻 HAL CASTEEL - Founder/CEO/CTO ║
║ ──────────────────────────────────────────── ║
║ • 20+ years software engineering ║
║ • Built multi-tenant SaaS platforms at scale ║
║ • Deep expertise: AI, databases, cloud infra ║
║ • Solo founder (looking for co-founder/COO) ║
║ ║
║ 🎯 ADVISORS (To Be Recruited) ║
║ ──────────────────────────────────────────── ║
║ □ Former VP Engineering (GitHub/GitLab) ║
║ □ AI Researcher (OpenAI/Anthropic) ║
║ □ Enterprise SaaS Sales (Salesforce/Atlassian) ║
║ ║
║ 💼 HIRING PLAN (Seed Funded) ║
║ ──────────────────────────────────────────── ║
║ Month 1-3: 2 Full-Stack Engineers ║
║ Month 4-6: 1 Product Designer ║
║ Month 7-9: 1 GTM Lead (sales + marketing) ║
║ Month 10-12: 1 Customer Success Manager ║
║ ║
╚══════════════════════════════════════════════════════════╝
Speaker Notes: "I'm the founding engineer with 20 years building SaaS platforms. This seed round lets me hire a world-class team: 2 engineers to ship the product, 1 designer for amazing UX, and 1 GTM lead to drive growth. We're also recruiting advisors from GitHub, OpenAI, and enterprise SaaS."
Slide 14: The Ask
╔══════════════════════════════════════════════════════════╗
║ THE ASK ║
║ ────────────────────────────────────────────────── ║
║ ║
║ 💰 RAISING: $2M SEED ROUND ║
║ ║
║ 📊 TERMS: ║
║ • $10M pre-money valuation ║
║ • 20% equity ║
║ • SAFE or priced round (flexible) ║
║ ║
║ ⏱️ TIMELINE: ║
║ • 30-day close ║
║ • 24-month runway to Series A ║
║ ║
║ 🎯 USE OF FUNDS: ║
║ • $800K: Engineering (2 engineers × 24 months) ║
║ • $300K: Product/Design ║
║ • $400K: Sales/Marketing (GTM lead) ║
║ • $200K: Infrastructure (GCP, databases) ║
║ • $100K: Legal/Compliance (SOC 2) ║
║ • $200K: Runway buffer (6 months) ║
║ ║
║ 📈 EXIT TO SERIES A: ║
║ • $10M raise at $40M valuation ║
║ • Metrics: $1.8M ARR, 10 enterprise customers ║
║ • Timeline: 18-24 months ║
║ ║
╚══════════════════════════════════════════════════════════╝
Speaker Notes: "We're raising $2M at a $10M pre-money valuation. That's 20% equity for 24 months of runway. With this capital, we'll hit $1.8M ARR and raise a $10M Series A at $40M valuation. Your $2M turns into $8M—a 4x return in less than 2 years."
Slide 15: Call to Action / Contact
╔══════════════════════════════════════════════════════════╗
║ ║
║ JOIN US IN BUILDING THE FUTURE ║
║ OF AI PRODUCTIVITY ║
║ ║
║ ─────────────────────────────────────────────────── ║
║ ║
║ We're creating a new category in the $26B GenAI ║
║ market with zero competitors and massive demand. ║
║ ║
║ This is a once-in-a-decade opportunity to be ║
║ first to market in developer productivity tools. ║
║ ║
║ ─────────────────────────────────────────────────── ║
║ ║
║ 📧 Email: hal@az1.ai ║
║ 🌐 Demo: context-intelligence.com ║
║ 📅 Calendar: [Schedule 30-minute deep-dive] ║
║ ║
║ ─────────────────────────────────────────────────── ║
║ ║
║ NEXT STEPS: ║
║ 1. Review data room (technical docs, financials) ║
║ 2. Reference calls with beta users ║
║ 3. Term sheet discussion ║
║ ║
║ Let's build this together. 🚀 ║
║ ║
╚══════════════════════════════════════════════════════════╝
Speaker Notes: "Thank you. This is a once-in-a-decade opportunity to define a new category in the $26 billion GenAI market. We have the team, the tech, and the timing. All we need is your partnership to make this the next great developer tool company. Let's talk specifics."
Appendix Slides (For Q&A)
A1: Technical Architecture
╔══════════════════════════════════════════════════════════╗
║ TECHNICAL ARCHITECTURE ║
║ ────────────────────────────────────────────────── ║
║ ║
║ HYBRID DEPLOYMENT: ║
║ • Standalone SaaS (Kubernetes + PostgreSQL) ║
║ • CODITECT Integration (Cloud Run + shared DB) ║
║ • 85% code reuse between modes ║
║ ║
║ DATABASE: ║
║ • PostgreSQL 15 (conversations, commits, users) ║
║ • Weaviate (vector embeddings for semantic search) ║
║ • Redis (caching, rate limiting, queues) ║
║ ║
║ SEARCH ALGORITHM: ║
║ • Hybrid: Keyword (PostgreSQL FTS) + Semantic ║
║ • RRF (Reciprocal Rank Fusion) for result merging ║
║ • <100ms p95 latency ║
║ ║
║ SECURITY: ║
║ • Multi-tenant RLS (database-level isolation) ║
║ • SOC 2 Type II compliant (18-month target) ║
║ • End-to-end encryption, on-prem option ║
║ ║
╚══════════════════════════════════════════════════════════╝
A2: Competitive Matrix
╔══════════════════════════════════════════════════════════╗
║ COMPETITIVE COMPARISON ║
║ ────────────────────────────────────────────────── ║
║ ║
║ Feature Us GitHub Notion ChatGPT ║
║ ──────────────────────────────────────────────────── ║
║ AI Conversation ✅ ❌ ❌ ✅ ║
║ Multi-Provider ✅ ❌ ✅ ❌ ║
║ Git Integration ✅ ✅ ❌ ❌ ║
║ Semantic Search ✅ ❌ ✅ ✅ ║
║ Team Analytics ✅ ❌ ❌ ❌ ║
║ SOC 2 Compliant ✅ ✅ ✅ ✅ ║
║ On-Premise ✅ ✅ ❌ ❌ ║
║ Pricing $15 $10 $10 $20 ║
║ ║
╚══════════════════════════════════════════════════════════╝
End of Deck
Total Slides: 15 main + 2 appendix Presentation Time: 10 minutes (40 seconds per slide) Q&A: 5 minutes
Delivery Tips:
- Practice to 10-minute hard stop
- Use appendix slides only if asked
- Have laptop ready for live demo
- Bring one-pagers for each investor
Document Version: 1.0 Last Updated: November 26, 2025 Status: Ready for Investor Presentations