Your AI Engineering Pod
A senior pod that subcontracts the AI work you've already sold — white-label delivery, with the ADR trail your client's reviewer will ask for.
You sold an AI feature because saying no to the client wasn't a real option, and now someone has to actually build it. Staffing it with a developer who's never shipped a grounded retrieval system is a bet against your own name — if the output invents a number or leaks across a boundary it shouldn't, your client blames your agency, not a subcontractor they never see.
What you need isn't another freelancer to manage. It's a senior pod that plugs into the project you've already scoped, delivers under your relationship with the client, and hands you a record you can point to if their own technical reviewer starts asking questions.
Capacity you can subcontract without embarrassment
No juniors here — just two senior architects
The same two architects who scope your client's engagement build and review it end to end. Nothing gets quietly handed off to whoever has spare capacity when your timeline tightens.
AI leverage, paired with the paper trail
We use AI-assisted development to move at the pace a subcontracted engagement demands — and every deviation from the scope you agreed with your client is a numbered ADR citing the exact clause it departs from. The leverage buys speed on the build, not a shortcut on the record of what got decided.
An audit trail your client's reviewer can check
Isolation tests carry positive controls and a security review runs before handover, so when your client's own technical reviewer asks how the system was built, the answer is a document, not a reassurance.
White-label by default
We work inside the relationship you already own. Your client sees your agency's name; the audit trail behind the work is what lets you stand behind it.
Shipped, not just demoed
A sample of production builds across retail, consumer tech, and agritech — deployed and running, not left in a sandbox.
Custom Platforms
Guardian Care — Solar Assessment & Monitoring
Solar assessment and monitoring platform that transforms on-site solar visits into actionable findings. Features an offline-ready on-site assessment flow, a command centre for portfolio management, homeowner portal for energy insights, and a versioned rules engine for audit-trail transparency. Every finding is traced to the exact threshold that triggered it.
AI MVP Development
Polymath — Personal Knowledge & Recall System
A personal knowledge and spaced-repetition system spanning eight study fields (AI hardware, software, biohacking, neuroscience, biochemistry, electrical engineering, business/sales, and research methodology). Captures material from multiple sources, enables retrieval via voice and text with citations back to the exact passage, and uses layered questioning (recall → explain → apply) with automatic weak-area detection. Integrates research literature feeds to resurface forgotten concepts and material from underperforming topics.
Custom Platforms
AI-Assisted Risk Monitoring Platform
We develop AI-assisted fintech monitoring and real-time risk-management systems. This engagement is under a publication bar, so the line above is the whole of what can be said about it. The build ran the way every engagement here does: architecture decisions written down as ADRs, and a lead architect reviewing each step before it moved on.
Start with a scoping call.
Tell the two architects who'd build it what you need, and they'll tell you plainly what it takes — no sales deck, no pressure to sign anything.