Build AI-Native Apps That Survive Past the Demo
An AI app is not a wrapper around a model. It is a product, with auth, billing, retention, ops, and a UX that hides the model's edges. We build AI-native apps that ship, scale, and earn revenue.
Crafted by UnfoldCRO
The Problem
AI Demos Are Cheap. AI Products Are Hard.
Cool Demos Without a Business Underneath
A working demo is 10% of an AI product. Auth, billing, retention, support, ops, and the UX that hides model failures are the other 90% — and that is where most projects stall.
Architecture That Cannot Scale
Synchronous in-process model calls fall over at the first traffic spike. Real AI apps need queues, streaming, retries, and a model-routing layer that can survive a vendor outage.
UX That Exposes the Model
Latency, partial outputs, and confidence levels need to be designed into the UI. Apps that wait silently for 12 seconds lose users in the first session.
Unit Economics That Do Not Work
If every active user costs more in tokens than the price plan covers, the product loses money on every signup. Cost engineering has to be designed in from the first sprint.
AI Apps Built Like Real Products, Not Hackathon Wins
We build AI-native apps end-to-end: AI orchestration, backend, frontend, mobile, ops, and the unit-economics work that makes the business viable. We treat the model as one component of a real product, not the whole product.
AI orchestration layer with model routing, retrieval, and graceful failure handling
Modern backend (Node, Python, Go) with proper queues, streaming, and observability
Web, mobile, and desktop frontends with AI-native UX patterns
Auth, billing, subscription tiers, and the ops tooling to run a real product
Cost-per-user dashboards and the routing logic to keep unit economics positive
Have an AI App Idea?
Book a call. We will sharpen the product story, scope the build, and propose a 12-to-20 week plan to public launch.
What You Get
Your AI App
AI Orchestration Layer
Model routing, retrieval, function calling, evals, and the abstractions that let you swap providers without a rewrite.
Backend & API
Production-grade backend in Node, Python, or Go with queues, streaming, retries, idempotency, and observability.
Frontend & Mobile Apps
Web (Next.js, React), mobile (React Native, Swift, Kotlin), and desktop (Electron, Tauri) with AI-native UX patterns.
Auth, Billing, & Ops
Auth, subscription billing (Stripe, Paddle), usage metering, and the admin and support tooling to operate the product.
Data & Retrieval
Database design, vector store, retrieval pipeline, and the data tooling that grounds AI features in your customers' data.
Cost Engineering
Per-user cost tracking, token routing, prompt caching, and the dashboards that keep unit economics positive.
How It Works
From Idea to Live App
Product Definition
Who is the user, what is the wedge, what is the willingness to pay. We refuse to start coding until the product story is sharp.
Prototype
Working prototype against real users in 2 to 4 weeks. We learn fast and cheap before committing to the full build.
Architecture & Build
Backend, frontend, AI layer, billing, ops — built in parallel by a small senior team. No five-month upfront design phases.
Beta & Cost Modeling
Closed beta with real usage. Per-user costs and quality metrics monitored daily. Pricing and packaging adjusted before public launch.
Public Launch
Launched on a watched canary, scaled gradually. Marketing, billing, support, and ops all production-ready on day one.
Operate & Iterate
We do not disappear after launch. We operate the app, ship improvements weekly, and grow it with you for as long as you want.
Typical results
Results That Speak
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Projects Delivered
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Industries Served
0
Weeks From Kickoff to Public Launch
0
K+ Users Supported on Initial Architecture
0%
Gross Margin on AI Plans
0.0%
Production Uptime
What Our Clients Say
Testimonials
Rajkumar Venkatachalam
E-Commerce Expert | Conversion & Retention Strategist | Co-Founder of Neidhal.Com, Neidhal.Com
Abhijith Shetty
Founder, Gubbachhi | MICAn | Digit Insurance, McCann, Dentsu, Lowe Lintas, Leo Burnett, Tech Mahindra, Gubbachhi
Surbhi Sarda
SEO Strategist | Guiding Brands for Local & AI Search Ready
Nikita Sharma
Founder | Guide Businesses in Brand Perception & Digital Experience, ICraftAds
Ajay Binani
AI Automation Systems Learner | Author & Speaker on Minimalism, Get You At
Samriddhi Nagdev
Founder - Artcetra Design Studio | Brand Identity Designer, Artcetra Design Studio
The Difference
Why UnfoldCRO?
Full-Stack AI Engineers
We do not split AI from product engineering. The same team designs the orchestration layer, the backend, and the UI — so nothing falls through the cracks.
Unit Economics Discipline
We design pricing and packaging alongside the product. Most AI apps die because the math does not work — we make the math work first.
AI-Native UX
Streaming, partial outputs, confidence cues, and graceful failure modes designed into the UI — not bolted on after launch.
Built to Operate
Every app ships with the dashboards, support tooling, and runbooks needed to actually run it. We do not hand you a code dump and walk away.
Frequently Asked Questions
Ready to Get Started?
Book a discovery call. We will sharpen the idea, propose the architecture, and ship a working prototype in 2 to 4 weeks.