Six things we do well.
Most projects use one or two of them. All of them start with the same question: what does your team need to see clearly, and what is in the way?
Dashboards, reports and insight tools
Ten years of building exactly this: analytics dashboards, reporting tools and data explorers for legal, compliance, healthcare and contact-centre platforms. Tables with millions of rows that still feel instant, charts that answer a question, reports people actually read.
A company brain
Your email, documents, CRM and notes in one knowledge base any AI model can read, with skills your whole team shares as plain Markdown files. Every run logged, every cost visible, in your cloud or on your own servers, and all of it yours.
How the company brain worksWeb applications
Customer portals, internal tools and dashboards that people want to open. Designed and built end to end, from the first screen to the database behind it.
Custom software
For when the spreadsheet has become a system and the off-the-shelf tool no longer fits. We build the thing your business needs, and nothing more.
AI agents and automation
Agents that take on repetitive work: intake, triage, reporting, follow-ups. Scoped narrowly, tested against real cases, with a person in control.
Advice before you build
A few weeks to untangle a problem, map the options and write down what to build, in what order and at what cost. Useful on its own, whoever builds it.
How a project runs
- 1
A conversation
You tell us what is complicated. We ask questions and say honestly whether software is the answer.
- 2
A written scope
What we will deliver, what it costs and when, on paper before any code is written.
- 3
The build
Short cycles, something to try every week or two, and the same people from start to finish.
- 4
After launch
We hand over everything, then stay on to fix, adjust and extend for as long as it is useful.
How we build
Six steps, the same on every project, from the first conversation to the alerts that watch it in production.
1
Specify
Written with you
Use cases and user stories agreed before we build, so the scope means the same thing to both of us.
Use cases, user stories, written scope
2
Plan
Short cycles, visible board
Work is cut into small pieces on a board you can see, and something is ready to try every week or two.
Agile, Kanban
3
Build
Tests first
Test-driven development where it counts, so every feature arrives with the proof that it works.
TDD, automated tests, code review
4
Ship
A pipeline, not hands
Every change is built, tested and deployed automatically. Small releases, easy rollbacks.
CI/CD pipelines
5
Run
Containers everywhere
What runs on our machines runs the same in production, on any cloud or on yours.
Docker, Docker Compose, managed cloud services
6
Watch
Monitoring and alerts
Nothing stays in the dark: errors are caught and reported before you notice them, and what we learn feeds the next cycle.
Error tracking, logs, uptime checks
Across the whole chain we use AI assistants: frontier models when they help, local models when your data must not leave your infrastructure. Every line they produce is reviewed by an engineer who answers for it.
Start with the problem.
You do not need to know which service fits. Tell us what is slowing your team down, and we will shed some light on where to begin.
Talk to us