AI SaaS Development
Turn Your AI Idea Into a Working SaaS Product.
End-to-end development of AI-powered SaaS products — from model/API selection to a billed, production-ready app your first users can actually sign up for.
What's Included
- ✓ Architecture built for real AI-product constraints: latency, cost-per-request, model fallback, rate limits
- ✓ Model/provider selection based on your actual use case and budget, not hype
- ✓ Full product build: auth, billing (Stripe/Paddle), usage metering, admin dashboard
- ✓ Production deployment on Vercel/cloud infra with monitoring from day one
- ✓ Built to scale from 10 users to 10,000 without a rewrite
Why It Matters
- → Go from idea to a real, billable product instead of a prompt-in-a-notebook demo
- → Avoid the two most common AI-SaaS failure modes: unsustainable per-request costs and unreliable outputs
- → Launch with the boring-but-critical parts (billing, auth, metering) already solid
- → Have a technical partner who understands both 'SaaS' and 'AI' — not just one
Process
- 1
Product scoping — define the core AI workflow and the smallest version worth shipping
- 2
Architecture & model selection — pick the model/provider stack against your latency/cost targets
- 3
Build — core AI pipeline + product shell (auth, billing, dashboard) in parallel tracks
- 4
Beta — closed beta with real users, cost and quality monitored against real usage
- 5
Launch — production deploy, monitoring, and a handover doc on how to operate/scale it
Pricing
Proof of Concept
from $2,000
Core AI workflow only, validate feasibility before full build
MVP Build
from $6,000
Full product — auth, billing, AI pipeline, admin dashboard
Custom / Scaling Engagement
let's talk
Post-launch scaling, multi-model routing, enterprise features
What Clients Say
“[Result — e.g. 'went from idea to paying customers in 6 weeks']”
— [Client Name, Founder, Company]
“[Result]”
— [Client Name, Company]
FAQ
I just have an idea, no spec — can you help scope it?
Yes, that's the first step of the process, included in the engagement.
What if I don't know which AI model to use?
That's part of the architecture phase — recommendation is based on your latency/cost/quality needs, not a default pick.
How is this different from general MVP Development?
This page is specifically for products where AI is the core value, not a bolt-on feature — see MVP Development for non-AI-specific builds.
Do you handle ongoing hosting/scaling after launch?
Optional retainer available; otherwise full handover with documentation.
What's the typical timeline?
Proof of Concept: 1–2 weeks. Full MVP: 6–10 weeks depending on scope.