Full-stack build capacity
One person covering product, architecture and engineering — instead of a team you have to assemble, brief and manage.
Your idea, our engineering
You have the idea. We’re the engineering team you don’t have to hire.
No agency to manage, no team of contractors to coordinate — one senior partner who designs, builds and runs the whole platform. Two AI SaaS products are already in production this way.
- 2 platforms in production
- Multi-tenant
- AWS-native
- 25 years in regulated technology
The difference
Most technical co-founders you can hire are junior. We’ve already done this twice.
You shouldn’t have to explain your idea to a recruiter, a project manager and three contractors before a line of code gets written. Bring in one person who has actually taken an AI SaaS product from a blank page to paying tenants — multi-tenancy, billing, roles, admin tooling, and the AI integration itself. We have built all of it, twice, and shipped it to production — not to a slide deck.
What we’re good at
Four things we do well
Multi-tenant from day one
Isolation, roles, per-tenant branding and central administration. Retrofitting this later is a rewrite.
AI integrated properly
Not a chatbot bolted on afterwards — the model built into the product where it actually earns its place.
Regulated and sensitive data, if you need it
De-identification, audit trails and an architecture your compliance team can approve — when the product calls for it.
Selected work
Two production AI platforms
Built for Planfocus Consulting, an Australian advice-technology firm. Both are multi-tenant, both are live, and both solve problems that recur in every regulated sector.
Case study 01
AdviceStudio
Turns a dense 40-page compliance document into a client-ready interactive presentation in minutes — and the client’s personal data never reaches the AI.
A dedicated redaction engine strips every identifier before a single word is sent, then re-scans the result. Anything that slipped through is a hard stop.
Python
FastAPI
PostgreSQL
ECS Fargate
Case study 02
Coremetryx
Enterprise business intelligence, wrapped so a small business can use it — multi-tenant, branded dashboards built on Amazon QuickSight.
Complete data isolation per organisation, six granular roles, and dashboards embedded securely into a custom front end.
TypeScript
React
AWS CDK
QuickSight
How we work
Small team, production software
01
Senior only
No layers, no handoffs to juniors. The person who scopes the work is the person who builds it.
02
Production, not prototypes
We measure success by software running in front of real users, with billing, monitoring and support.
03
AI-assisted engineering
It is how we deliver a team’s output. It is also why our estimates look different from everyone else’s.
04
You own it
Documented handover of the code, the infrastructure and the decisions behind both.
Tell us what you’re trying to build.
Or what isn’t working. We reply within one business day.