“We have digitised individual departments, but the business still runs on handoffs, spreadsheets and people who know the workaround.”
Services
Engineering practices, not a menu of technologies.
Eight practices covering the software an enterprise actually runs on. Each is staffed by senior engineers who are in the room from discovery onward — there is no handover to a delivery team you have never met.
01What we do
The practices
Pick the one that matches your problem, or start a conversation and we will tell you which applies.
Web platforms that stay fast and maintainable long after launch — not just on the day they ship.
- React
- Next.js
- Node.js
- +1
iOS and Android products designed around how people actually use them — offline, one-handed, and on poor connections.
- React Native
- Flutter
- Swift
- +1
Systems built around how your business actually operates, when off-the-shelf software would mean changing the business to fit the tool.
- Java
- .NET
- Python
- +1
Infrastructure that scales predictably and deploys without ceremony — plus the cost control most cloud migrations forget.
- AWS
- Azure
- Kubernetes
- +1
Automation applied where it changes a number on the P&L — starting with the process, not the model.
- Python
- OpenAI
- LangChain
- +1
SAP implementation, integration and Fiori development that makes the system usable for the people who did not choose it.
- SAP S/4HANA
- SAP Fiori
- ABAP
- +1
Interface design for complex systems, where the measure is task completion rather than how the screenshot looks.
- Figma
- Design Systems
- Prototyping
- +1
Automated testing that lets teams ship faster, rather than a manual gate that slows every release down.
- Playwright
- Jest
- k6
- +1
02How we work
The same process, whichever practice you need
Every engagement opens with a fixed-price technical assessment. You get an architecture decision record, a delivery plan and a real estimate — and you are free to take them elsewhere.
Discover
Fixed-price assessment of the systems, constraints and commercial goal. Output is an architecture decision record and an estimate you can act on.
Design
Data model, service boundaries and interface design agreed with your team — reviewed, not presented.
Build
Two-week increments, each ending in something deployable. Direction can change at any boundary.
Harden
Load, accessibility, security and observability work completed before launch rather than after the first incident.
Transfer
Phased release, runbooks and paired sessions until your engineers are genuinely self-sufficient.
03Solutions
All solutionsNot sure which practice you need?
Most clients arrive describing an outcome rather than a discipline. These are the outcomes we are usually called in for.
“Our team spends most of the week moving data between systems, checking documents and chasing approvals.”
“A critical system still works, but it is expensive to change, hard to hire for, and increasingly a security concern.”
“No product on the market fits how we operate, and configuring one to fit means giving up the thing we do differently.”
“We moved to the cloud and our costs went up, deployments are still manual, and nobody can recreate production.”
“We are under pressure to have an AI strategy, and we have pilots that impressed people but never reached production.”
Next step
Tell us what you are trying to change.
We will tell you what it takes — including when the honest answer is that you should buy something off the shelf instead.