From idea to a working product — fast.

MelroseLab helps founders launch their first real product using AI-accelerated development—built in custom code or Bubble.

Best for founders who want a first build they can demo, sell, and iterate.
Live Demo
See AI-accelerated development in action.
API & SDK
Your workflows, your way.
n8n Native
Drop-in nodes.
4x
Faster to demo
3–6w
Typical sprint
Senior
Engineering
CI/CD
From day one
99.9%
Uptime mindset
<100ms
UX focus
Who it's for

Built for founders who need shipping velocity

If you want a real product—not a prototype—this is for you.

Pre-seed founders

You have a clear problem and a wedge, but need a credible first build to learn from real users.

Technical-lite teams

You can validate ideas, but need senior execution to ship clean foundations and avoid rework.

Existing prototypes

You’ve got something working, but it’s not stable or sellable. We make it launch-ready.

What you get

A first build you can actually launch

Clear scope, fast delivery, and production-minded engineering.

Blueprint before build

Wireframes, a data model, and a plan so we’re aligned before we write code.

Custom code or Bubble

We’ll recommend the right approach for your stage: Bubble for speed and iteration, or custom code for deeper control.

Launch foundations

Deployment, basic observability, and analytics readiness so you can learn post-launch.

How it works

Ship in 3 steps

A simple loop that turns ambiguity into a working product—fast.

1) Align

Intake + clarity call to define the user, problem, and success metrics.

2) Build

A focused sprint to implement core workflows with stable foundations.

3) Launch

Deploy, measure, and iterate based on real usage—not guesses.

Packages

A simple way to start

Start with a sprint. Upgrade when you have traction.

Launch Sprint

Get to a credible demo and a clear launch plan.

What’s included
  • Clarity call
  • Blueprint + scope
  • Core flow build
  • Deployment basics
Boundaries
  • Single primary flow
  • Limited integrations
  • Defined scope
First Build Pro
Best fit

A launch-ready first build with production foundations.

What’s included
  • Auth + onboarding
  • Core workflows
  • CI/CD + environments
  • Analytics-ready launch
Boundaries
  • Scope confirmed in blueprint
  • Limited integrations
  • Retainer optional
AI + Automation

Add AI features and operational automation with guardrails.

What’s included
  • AI feature design
  • Automation workflows
  • Observability + cost control
  • Iteration support
Boundaries
  • Depends on data
  • No output guarantees
  • Compliance by scope
Testimonials

What founders say

Real feedback from founders who shipped with MelroseLab.

We went from idea to a working product we could demo in weeks. The scope was clear and delivery was fast.

Marcus Chen
Founder, TaskFlow AI

The build was clean and launch-ready. We didn't feel like we were accumulating hidden tech debt.

Sarah Mitchell
CEO, DataPulse

AI accelerated the pace, but the engineering judgment kept things stable. Great balance.

James Rodriguez
Co-founder, MarketSync
FAQ

Answers before you book

A few quick clarifications to make the next step easy.

We focus on a First Build: a launch-ready version with clear scope boundaries and production-minded foundations.

It depends on scope, but many engagements move from blueprint to launch in a few weeks.

We’ll shrink it. The blueprint phase is designed to cut to the smallest shippable version that still proves value.

Yes. We can set up AWS foundations, CI/CD, and cost controls, and support S3 + CloudFront static deployment.

Ready to build?

Book a call and we'll map the fastest path to a working product you can launch.