Building the Future of AI-Powered Development

APEX is revolutionizing how developers write, fix, and ship code. We've built AI that doesn't just autocomplete—it actually understands, fixes, and ships production-ready code.

🎯 Market Opportunity

The developer tools market is exploding. GitHub Copilot generates $100M+ ARR. Cursor raised at a $400M valuation. But they're solving the wrong problem.

The problem isn't autocomplete. It's understanding.

Developers spend 60% of their time navigating unfamiliar codebases, fixing bugs, and applying repetitive changes. APEX solves this by actually understanding your entire codebase—not just the file you're editing.

🔱 Product

Two complementary products:

• Codebase AI: Enterprise-scale codebase understanding. Analyzes 1000+ files, answers questions, creates PRs, learns your style.
• Code Generation: AI-powered full-stack development. Generates features, tests, and documentation from natural language.

Key differentiators:

• Multi-LLM: Users choose Claude, GPT-4, Gemini, or any model. We're not locked to OpenAI.
• Pay-per-use: $5 credits for quick fixes. No subscription lock-in.
• BYOLLM: $4.99/month for unlimited usage with your own LLM. 75% cheaper than Cursor.
• Enterprise-scale: Handles 1000+ file codebases. Competitors struggle past 100.
• Sandbox testing: Every change tested before commit. Competitors just generate and hope.

📊 Traction

Current status: Pre-launch. Backend deployed. Platform functional. Ready for initial customers.

💰 Business Model

Dual revenue streams:

• Pay-per-use: $5-20 credit packs. 90%+ margin. Target: Quick fixes, freelancers.
• Subscription: $4.99/month BYOLLM. ~99% margin. Target: Power users, teams.

Conservative projections:

• Month 1: 170 credit purchases + 50 subs = $1,650 MRR
• Month 6: 2,000 credit purchases + 500 subs = $18,500 MRR
• Year 1: $200K ARR (conservative)
• Year 2: $1M+ ARR with growth capital

🚀 Why Now?

• LLMs finally work: GPT-4, Claude 3.5, Gemini 2.0 can actually write production code.
• Market validation: Cursor ($400M), Copilot ($100M+ ARR), Tabnine ($120M raised).
• Incumbent weakness: All locked to OpenAI. All subscription-only. None handle enterprise scale.
• Developer frustration: Autocomplete isn't enough. Developers want understanding + automation.

👥 Team

Chad Justice, Founder & CEO
Professional poker player (7 years) with 16 years of business management experience. Turned AI founder, building APEX from zero coding knowledge in 6 months using AI-assisted development. Currently operates multiple AI products under Justice Apex LLC:

• DEFINTEL: Blockchain intelligence platform. Billions of records across 11 chains. $49-999/month tiers. defintel.net
• APEX: AI code tooling. Pre-launch.
• JADE: AI website builder. 50-phase roadmap.

Vision: Build the complete AI-powered development stack. APEX is the core platform. JADE, MIRA, and future products are specialized agents built on APEX.

📈 Use of Funds

Seeking: $500K seed round

• $200K: Engineering (2 senior devs) - Scale backend, expand LLM support
• $150K: Infrastructure - Cloud compute, LLM API costs, scaling to 10K users
• $100K: Marketing - Developer outreach, content, community building
• $50K: Operations - Legal, compliance, runway

Milestone targets (12 months):

• 1,000+ paying customers
• $200K+ ARR
• Enterprise pilot programs
• Team of 5
• Series A raise ($5M at $20M valuation)

🎯 Competitive Landscape

GitHub Copilot: $10-20/month. OpenAI only. Limited to autocomplete. No codebase understanding.
Cursor: $20/month. OpenAI only. Subscription lock-in. Struggles with large codebases.
Cody (Sourcegraph): Enterprise-focused. $49+/month. Complex setup.
APEX: Multi-LLM. $4.99/month OR pay-per-use. Enterprise-scale. Sandbox testing.

Our moat:

• Multi-LLM flexibility (not locked to one provider)
• Pay-per-use option (unique in market)
• Sandbox testing (prevents broken commits)
• Style learning (adapts to each codebase)
• Real production usage (we use APEX to build APEX)

🔱 Technical Moat

7 Patents Filed covering:

• Multi-agent orchestration architecture
• Self-healing code systems with automatic rollback
• Distributed AI execution (local + cloud hybrid)
• Pattern learning from code changes
• Automated sandbox testing pipelines
• Agent spawning protocols
• Context management across sessions

Proprietary Technology Stack:

Scale Proven on Production Systems:

• Handles 1000+ file codebases (tested on 901-file production system)
• Multi-hour autonomous execution
• Distributed across multiple machines
• Managing billions of blockchain records (DEFINTEL: 38K whales tracked, 96M+ wallets analyzed across 11 chains)
• Real-time telemetry and performance tracking

Competitive Advantage:

While Cursor and Copilot offer autocomplete, APEX offers orchestration. We're not competing with IDEs—we're building the operating system for AI development.