Talk to Your Infrastructure. Build AI Applications in Minutes, Not Months.
Natural language commands that deploy, monitor, and scale AI apps automatically
Luna OS is creating a new category: the first complete operating system for AI applications - capturing the infrastructure layer as millions of developers rush to build AI-powered products.
$5.2B TAM by 2026, growing at 45% CAGR. Every company is building AI products.
AI adoption inflection point. 12-18 month window before big tech responds.
Developers spend 3-6 months on infrastructure instead of building features.
Building AI apps today requires stitching together dozens of fragmented services:
Result: 3-6 months wasted on infrastructure instead of building features.
One platform, everything included. Natural language commands that deploy, monitor, and scale AI applications automatically.
"Deploy my app to production with autoscaling" → Done in 30 seconds.
2024: $2.1B
2026: $5.2B
2028: $12B+
10M AI developers globally
500K+ companies
Growing 50%+ annually
100-1000+ developers each
Billion-dollar budgets
Desperate for solutions
| Category | Traditional Approach | Luna OS Approach | Time Savings |
|---|---|---|---|
| Database | Manual setup & config | Included, auto-configured | 2-3 weeks |
| LLM Integration | Custom API integration | Multi-provider, built-in | 3-4 weeks |
| DevOps | Manual config files | Natural language commands | 6-8 weeks |
| Cost Tracking | Build custom solution | Built-in per-token tracking | 4-6 weeks |
Total time savings: 3-6 months of development → Launch in days
Multiple monetization streams with 75%+ gross margins
Primary Revenue: Free → $29/mo → $99/mo → Enterprise
Unit Economics: $150 CAC, $3,500 LTV (23x)
High Margin: $50K-250K/year for self-hosted
Banks, healthcare, government (85%+ margins)
Platform Revenue: 20-30% commission on agent sales
Similar to Shopify app store model
Scaling Revenue: $25K-100K+ per engagement
Implementation, training, support
| Year | Total Users | Paying Customers | ARR | Growth |
|---|---|---|---|---|
| Year 1 | 5,000 | 250 (5%) | $450K | - |
| Year 2 | 25,000 | 2,000 (8%) | $3.2M | 611% |
| Year 3 | 100,000 | 10,000 (10%) | $15M | 369% |
Path to $100M ARR: 67K customers at $1,500/year OR 20K at $5,000/year
More users → More agents in marketplace → More valuable platform. Classic platform economics.
Deep integration into dev workflow. Migration = 3-6 months. Extremely sticky.
Cost optimization data from millions of LLM calls. Proprietary insights.
LAM Engine, per-token tracking, multi-LLM optimization. 6-12 month lead.
First-mover in "AI OS" category. Open source credibility and trust.
Competitors offer pieces. We offer the complete solution. 10x better UX.
10,000 GitHub stars • 1,000 active users • 50 paying customers • $5K MRR
5,000 active users • 250 paying customers • $40K MRR • Product-market fit validated
15,000 active users • 1,000 paying customers • $150K MRR • 5 enterprise customers
50,000 active users • 3,000 paying customers • $400K MRR ($4.8M ARR) • Series A ready
18-24 month runway to Series A
$800K-1.2M
3-4 senior engineers, platform scalability, new integrations
$700K-1M
Developer marketing, community building, customer success
$300K-450K
Infrastructure, legal, finance, HR, tools
$200K-350K
Opportunities, market changes, reserves
| Scenario | Timeline | Exit Value | Seed Return |
|---|---|---|---|
| Conservative | 3-4 years | $120M ($20M ARR @ 6x) | 10-15x |
| Moderate | 4-5 years | $400M ($50M ARR @ 8x) | 25-40x |
| Optimistic | 5-7 years | $2B ($200M ARR @ 10x) | 100-150x |
Perfect storm of tailwinds creating a 12-18 month window
Mass market moment happened. Every company building AI features. Millions of developers need infrastructure.
Prices dropping 10x year-over-year. Makes infrastructure layer MORE valuable. Opportunity to become the standard.
Companies burning millions on AI APIs. CFOs demanding visibility and control. Luna's tracking = immediate ROI.
Infrastructure as Code → Infrastructure as Conversation. Natural language is the next interface paradigm.
Developers prefer open platforms over proprietary vendor lock-in. MIT license builds community and credibility.
12-18 months before category gets crowded. Early positioning = category ownership. Time to move is NOW.
The complete platform layer between developers and AI infrastructure.
No stitching together services. No configuration hell. Just build.
Default platform for AI development
10,000+ customers • $20M ARR • Category defining brand
Operating system for autonomous AI agents
Multi-billion marketplace • Infrastructure for AGI economy • $5B+ valuation
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