AI built into
your business.
We find the highest-impact AI opportunities inside your existing operations and build production-grade software around them. Less manual work, fewer errors, faster results.
Start your project
Tell us about your idea and we'll get back to you within 24 hours.
No obligation. We'll respond within 24 hours.
"The speed and quality of delivery was genuinely impressive. I can't recommend Launch Assembly highly enough."
Max Gorvel · Founder, Wellplay
Most businesses don't need an AI strategy.
They need AI in the right two or three places.
The high-leverage opportunity is rarely a sweeping platform-wide rebuild. It's the handful of repetitive, rules-based, judgment-light tasks your team is doing manually right now. Find those, build AI directly into the workflow, and the gains stack up fast.
Highest-impact AI opportunities most operations have, hiding inside existing manual work.
Of those that get solved by buying another generic AI SaaS tool.
Four ways businesses try to "do AI" today.
Three of them go nowhere.
Generic AI SaaS
- Built for everyone, fits no one
- Doesn't know your data or workflow
- You still end up doing it manually
ChatGPT in a browser tab
- Lives outside your systems
- Nothing audited or repeatable
- Falls apart at any scale
Internal hack project
- Demo works, production doesn't
- No data model, no integrations
- Quietly abandoned in a month
Custom AI in real software
- Built around your actual workflow
- Hooks into the systems you use
- Holds up under real volume
AI only earns its place when it's wired into how your business actually runs. So that's what we build.
What custom AI software should actually look like.
A short list of principles we run every AI project against. If we can't tick all of these, the project isn't worth taking on.
AI inside real software
Not a chatbot bolted to the side. The AI lives inside the tool your team actually uses, with a real data model, real auth, real integrations.
Built around the highest-leverage tasks
We map your workflows and pick the two or three places AI will actually move the needle. Everything else stays the way it works today.
Human-in-the-loop where it matters
Reviews, approvals, validation steps for anything consequential. AI does the heavy lifting; the high-stakes calls stay with people.
Onshore engineering, not prompt-tweaking
Real architectural decisions, real data modelling, real evaluation. Senior engineers who've shipped production AI software, not contractors copying tutorials.
Fixed prices, not hourly
Priced against the outcome. Hourly billing rewards taking longer; we'd rather our incentives match yours.
You own the model and the code
No proprietary platform you can never leave. The whole thing is yours, deployable wherever you want.
Real AI products, shipped.
All live right now. Click any to see for yourself.
If AI could quietly take half the manual work off your team, we should talk.
→Operations teams running on copy-paste
Every quote, report, or approval involves moving the same data between three systems by hand. AI removes the manual layer in between.
→Service businesses drowning in inbound
Calls, emails, forms, all needing triage and a first response. AI takes the first pass, escalates what matters, and books the rest in.
→Companies sitting on a pile of unstructured data
PDFs, emails, transcripts, notes. Useful information, mostly unsearchable. AI turns the pile into something you can actually query.
→Founders building AI-native products
You're not bolting AI on, you're building around it. We've shipped multiple AI products from zero, including one that scaled to 1000+ users and exited.
How an AI project actually runs.
-
01
Discovery and audit
We map your workflows, look at your data, and identify the highest-ROI AI opportunities. You see the shortlist before any build conversation starts.
-
02
Solution design
We design exactly how AI fits into your existing processes. Where it's autonomous, where there's a human in the loop, what data it touches, where it integrates. You approve the plan before code gets written.
-
03
Build and integrate
We build in the open, on a live URL, with real data. Push regularly. You can poke at the AI as it takes shape, not wait for a final reveal.
-
04
Evaluate and tune
Real workflows, real edge cases. We run evaluations against actual examples from your business and tune until the AI behaves the way it needs to.
-
05
Launch and iterate
Go live, monitor performance, improve over time. AI gets better with feedback, and we're there to tune it as your needs shift.
What happens once it's live.
AI software lives or dies on what happens after launch. We build for that, not for a demo day.
Bug fixes included
If something we built breaks, we fix it. Built into every project, not a separate line item.
Tuning and evals
AI behaviour drifts as inputs change. Optional retainers cover ongoing evaluation, prompt tuning, and model upgrades.
Extensions and v2s
Once one workflow is automated, the next one becomes obvious. Same team, same codebase, no onboarding tax.
Hey, I'm Simon.
I've spent years building, launching, and scaling software, including multiple AI-powered products from the ground up. One scaled to 1000+ users and exited.
AI isn't a buzzword to me. I know where it genuinely earns its place inside a business and where it's just decoration on a deck. Most companies don't need a sweeping AI transformation. They need someone to look at how they actually work, find the right two or three opportunities, and build something that holds up in production.
That's what we do at Launch Assembly. Onshore, fixed scope, real engineering.
Common questions.
Tell us what's eating your team's time
and we'll show you where AI fits.
A short message is enough. We'll reply within a working day to set up a call.
Start your project
Tell us about your idea and we'll get back to you within 24 hours.
No obligation. We'll respond within 24 hours.