We work as a cross-functional team covering analysis, design, engineering, QA, DevOps, and support. Hand us a whole product or a defined part of one, and we stay on to support what we ship.
Web applications, backends, frontends, and internal business systems built to fit your processes. We cover the whole path: requirements and system analysis, architecture, development, testing, and deployment to staging and production.
Systems in production often hold years of business logic. We take them over carefully, stabilise them, improve them step by step, and keep them running.
We connect systems that need to work together: third-party APIs, company registries, CRMs, and cloud services. Monitoring is built in, so a failure gets noticed instead of going unseen.
We add AI where it changes how the work gets done: research and enrichment over public data, classification and scoring, assistants grounded in your own data, and drafting help for sales and operations teams. We use AI in our own product and build it for clients on request.
CI/CD pipelines, environments, infrastructure, and monitoring, along with testing and acceptance. These are part of every project from the start, not added at the end.
Architecture reviews, system analysis, technology selection, and code or system audits. Useful before a large build, a change of vendor, or an investment decision.
Engagement length depends on the scope and complexity of the project. Support continues for as long as you need it.
For evolving products and ongoing development.
For well-defined projects with a limited scope.
For systems already in production.
The same path on every engagement, from the first conversation to long-term support.
Requirements
Understand the system, the people who use it, and the goal.
Estimate and agreement
Put the scope, the plan, and the way we work in writing.
Design
Outline the architecture, the risks, and the first slice of work.
Iterative build
Deliver a small working piece, then the next.
Code review
A second engineer reviews every change.
Testing
Automated checks plus a manual pass on each change.
Staging
Review each release in a staging environment.
Acceptance
Check the release against the agreed scope.
Production
Deploy with a tested way to roll back.
Support
Fix, improve, and keep the system running as your needs grow.
AI can speed up drafting and exploration during the build. Code review, automated tests, security checks, and a named owner for every change stay in place.
We use AI deliberately across the software development lifecycle: as a productivity tool inside sound engineering practice, not a replacement for it. People stay accountable for the design, the code, and what ships.
We choose the stack that fits the product and your existing systems, not the other way round.
When a client's system already depends on another stack, we work in that stack.
The contract sets who owns the custom work: exclusive rights pass to you, or you receive a licence where we reuse our own platform components.
It depends on the scope and on team availability. We confirm a start date after the intro call, together with the written scope.
The contract sets ownership of custom work. Usually you get exclusive rights, or a licence where we reuse our own platform components.
Time and materials for evolving products, fixed price for a well-defined scope, and support under an SLA for systems already in production. We recommend one after the intro call.
We keep supporting the system under an SLA or a monthly retainer, with no fixed end date unless you want one.
Through a shared channel, a written scope, and regular progress updates. Technical documentation and day-to-day communication are in English.
We use AI deliberately across the software development lifecycle: as a productivity tool inside sound engineering practice, not a replacement for it. People stay accountable for the design, the code, and what ships. AI helps with drafting, exploration, and routine work. A person decides what is accepted. Code review, automated tests, and security checks apply to every change. The release path does not change. A model's suggestion is never a reason to ship. Client data and intellectual property follow clear rules, including what may and may not be sent to a model.
Tell us what you want to build, fix, or connect. We will reply with the next step.