AI leads, but it never stands alone — every model needs a product around it. We build both.
Intelligence built into your product and your operations:
Modern, fast web apps — customer portals, internal tools and dashboards — built with current frameworks and an eye on performance and accessibility.
The backbone behind the product: cloud backends, well-designed APIs, integrations with the systems you already run, and the data plumbing your AI features depend on.
Where we started, and still part of the toolkit — native-quality Android and iOS apps when mobile is the right surface for your users.
Interfaces people actually enjoy using — designed alongside the engineering, not bolted on afterwards, including the new patterns AI products demand.
Long-term care for the software we build: monitoring, updates, security patches and steady improvement — with real humans answering when something breaks.
The tools your business already runs on — CRM, invoicing, planning, internal systems, even legacy desktop software — can work directly with AI assistants. We build the secure connectors that make it happen, using MCP: the open standard the AI industry has settled on.
No rip-and-replace. Your existing apps stay exactly where they are — we simply give AI a safe, well-lit door into them.
“Which invoices are overdue?” “Summarise this customer's history.” Your team asks in plain language; the AI answers from your real data — and can act on it too.
You decide exactly what the AI can see and do. Every connector is permissioned and auditable — and it's yours, running where your data lives.
Not just talk: we open-sourced Swing MCP, a connector that lets AI assistants operate Java desktop applications — the “legacy” software most agencies won't touch. See the code on GitHub → · Everything about our MCP connectors →
A 30-minute call about how your business actually runs — where the hours go, which systems you use. Within a week you get a short written automation map: what's worth automating first, roughly what it takes, and what we'd skip. No obligation attached.
More often than the hype admits. If a workflow is rare, constantly changing, or a mistake in it is expensive, plain software — or no software — can beat AI. If that's your case, the audit will say exactly that.
A first automation or AI connector typically takes two to four weeks to working software. Bigger product builds are scoped in weeks, not quarters — you'll see something you can click early and often.
The audit is free. Builds are scoped after it — fixed-price where the shape is clear, short iterations where it isn't — and you approve the scope before anything is billed. No surprises is a feature we take seriously.
An open standard that lets AI assistants work with your existing apps — read from them, act in them — through a connector you control. Your systems stay exactly where they are; the AI gets a safe, permissioned door in.
No. Connecting and extending what you already run is usually the whole point — most of our work plugs into existing systems rather than replacing them.
You do. The code, the connectors, the infrastructure — handed over, documented, running in your own accounts.
You decide exactly what any AI can see and do — access is permissioned and logged, and we design with the least access that does the job. Data handling is agreed explicitly before anything is connected.
We stay. Monitoring, updates, security patches and steady improvement — with real humans answering when something breaks.
A 30-minute call, then a written automation map for your business. If AI isn't worth it for you, we'll say so — that's the honest version of “talk to us”.
Book your free audit