From AI Idea to Paying Customers.
Whether you have a prototype or just a vision, we build AI products that generate revenue—not just demos. Launched with real users in 4 weeks, or 50% back.
50+
AI products launched
$2M+
Revenue generated for clients
4 weeks
Idea to paying customers
0
Missed deadlines
Sound Familiar?
You're not alone. Every AI founder hits the same wall: the gap between "cool demo" and "customers paying me money."
You Can't Charge for a Demo
You've got a working AI prototype—maybe built with Cursor, v0, or ChatGPT. It's impressive. But customers won't pay for demos. You need a real product with auth, payments, and infrastructure that works.
You're Spending, Not Earning
Every day you're burning runway on API costs and development—but you have zero revenue. You need to flip that equation fast. A launched product with paying users, not another month of building.
Time is Your Enemy
Every week without revenue is a week closer to failure. You know you need to ship and start charging, but the gap between 'demo' and 'launchable' feels massive.
Ideas Don't Validate Themselves
Whether you have a prototype or just a vision, you need real users and real revenue to know if this works. Not more planning—a launched product that makes money.
Prototype vs Production
The difference between a demo and a real product is everything that happens when things go wrong.
| Aspect | Your Prototype | Production Code |
|---|---|---|
| Codebase | AI-generated spaghetti | Clean, documented, maintainable |
| Error Handling | Crashes on edge cases | Graceful degradation, retries, fallbacks |
| Cost Control | Praying the bill doesn't spike | Token budgets, caching, optimization |
| Scaling | Falls over at 100 users | Ready for 10K+ concurrent users |
| Security | Prompt injection vulnerable | Input validation, PII handling, audit logs |
| Monitoring | Check if it's working... manually | Real-time dashboards, alerts, analytics |
What You Get
A launched product generating revenue—not just code you have to figure out how to deploy.
A Product That Makes Money
Not just clean code—a fully launched product with auth, payments, and the infrastructure to charge customers from day one. Real revenue, not demos.
Built to Scale with Your Revenue
Smart caching cuts AI costs 40-60%. Your margins improve as you grow. Infrastructure that gets cheaper per user, not more expensive.
Enterprise-Ready from Day One
Security, compliance, and reliability that enterprise customers demand. Close bigger deals faster because your product is already production-grade.
Metrics That Drive Revenue
Know exactly which features users love and which drive conversions. Built-in analytics to optimize for revenue, not just engagement.
AI Products We Build
We've shipped AI products across every category. If it uses an LLM, we've probably built something like it.
LLM Applications
GPT-4, Claude, Gemini, Llama integrations
AI Agents & Workflows
Multi-step reasoning, tool use, agent orchestration
RAG Systems
Vector search, embeddings, knowledge bases
AI-Powered SaaS
Content generation, analysis tools, copilots
Conversational AI
Chatbots, voice assistants, customer support
Computer Vision
Image analysis, document processing, OCR
From Idea to Revenue in 4 Weeks
A proven process for turning AI ideas into launched products with paying customers.
Strategy & Scope
Day 1-2
Whether you have a prototype or just an idea, we map the fastest path to paying customers. What's the core feature that proves your business model?
Revenue-focused roadmap
Build the Core
Week 1
We build the features that matter: auth, payments, and the AI functionality that users will pay for. No fluff—just what generates revenue.
Core product with payments
Ship & Iterate
Weeks 2-3
Deploy early, get real users, iterate fast. We optimize for conversions and user activation—the metrics that actually matter.
Live product with users
Scale for Revenue
Week 4
Optimize AI costs, improve conversion funnels, add features users are asking for. Now you're making money, not just spending it.
Revenue-generating product
Real Products We've Shipped
Verified outcomes from actual client projects—not fabricated testimonials.
Venn
Social Events App
From concept to App Store in 4 weeks. The founders used the product to close their seed round.
$100K+ raised
5K+ users in months
Collwi
Group Coaching Platform
Production-ready platform enabling community transformation through expert-led programs.
Launched
Live in production
Oink
Crypto Investment Platform
Fintech platform turning spare change into digital wealth for casual investors.
$200K+
Transacted on platform
Production-Ready or 50% Back
If we don't deliver production-ready code by your deadline, you get half your money back. We've never missed a deadline. But if we ever do, you're protected.
Ship with confidence
Questions AI Founders Ask
Everything you need to know about going from prototype to production
Can you work with my existing Cursor/v0/Replit code?
Absolutely. We start by reviewing what you have. Usually 20-40% of prototype code is salvageable—the core AI logic and business rules. We preserve the valuable parts and rebuild the infrastructure around them properly.
How do you handle AI costs and rate limits?
We implement intelligent caching (semantic similarity, not just exact matches), request coalescing, token budgets per user/request, and graceful degradation to cheaper models when appropriate. Most clients see 40-60% cost reduction.
What if I only have an idea—no prototype yet?
Perfect. Many of our best clients started with just a vision. We'll help you define the core features that prove your business model, then build and launch in 4 weeks. Idea-stage founders are welcome here.
Do you handle the AI/ML side or just the app?
Both. We integrate with OpenAI, Anthropic, open-source models, and specialized APIs. We handle prompt engineering, context management, and model selection. We're not training custom models—we're building products that use AI intelligently.
What's your stack for AI products?
Next.js/React frontend, Node.js or Python backend (depending on your AI needs), PostgreSQL + vector databases (Pinecone, pgvector), Redis for caching, and modern observability tools. All production-proven, all maintainable.
How do you handle prompt injection and security?
Defense in depth: input validation, output filtering, separate system/user contexts, rate limiting, and audit logging. We've seen the attacks—we build apps that resist them.
Will investors care that it was rebuilt from a prototype?
Investors care that it works, scales, and has clean code they could due-diligence. Nobody cares how you got there. In fact, rapid prototyping followed by professional buildout is exactly the pattern smart founders use.
What happens after launch?
30 days of bug fixes and support included. After that, we offer ongoing maintenance or can help you hire your first engineer to take over. We'll make sure they can actually understand the codebase.
Ready to Start Earning?
Book a free strategy call. Whether you have an idea or a prototype, we'll map out how to get you to paying customers in 4 weeks.
Idea or prototype—we'll show you the fastest path to revenue.