Engineering
How we engineer software that holds up in production.
Three areas of expertise, one way of working: understand the problem, design the architecture, build in verified increments, and run what we ship.
01 · Expertise
Software & product engineering
Custom software and SaaS products, designed and engineered to run in production.
Typical engagements
- A new SaaS product, from first release onwards
- Customer portals and internal platforms
- Rebuilding a product that has outgrown its first version
What we deliver
- Product design and a design system
- Web and mobile applications
- APIs, integrations and data pipelines
- Infrastructure as code and CI/CD
Questions we ask first
- Who uses it first, and what must they do on day one?
- Which systems does it connect to?
- What data does it hold, and who may see it?
02 · Expertise
AI & intelligent automation
Models, agents and automation inside the products and workflows you already run.
Typical engagements
- AI features inside an existing product
- Agents that act through approved tools
- Document and workflow automation
What we deliver
- Evaluation sets built from real examples
- Agents with approval boundaries
- Model routing, cost and audit reporting
- Guardrails on inputs and outputs
Questions we ask first
- Which task costs your team the most time today?
- What must an AI never do without a person’s approval?
- Where does the data live, and may it leave your environment?
03 · Expertise
Enterprise technology & modernization
Architecture, integrations and infrastructure brought up to date — without stopping the business.
Typical engagements
- Architecture assessment
- Incremental migration off legacy systems
- Private and self-hosted AI
What we deliver
- An assessment and a migration plan
- New services behind existing interfaces
- Identity, observability and hardened infrastructure
Questions we ask first
- Which system is hardest to change today, and why?
- What must keep running during the change?
- Which security or compliance requirements apply?
The approach, in full
Six stages, from first question to production.
What happens at each stage, what you receive, and what we need from you.
| Stage | What happens | You receive | Your involvement |
|---|---|---|---|
| Analyze | Map the problem, users, systems and constraints. Decide where AI belongs — and where it doesn’t. | A scoped brief: goals, users, systems and constraints. | Working sessions with the people who know the work and the systems. |
| Design | Design the product and architecture before code is written. | Product design, architecture and decision records, delivery plan. | Review of the design and plan before engineering starts. |
| Engineer/Build | Short increments on a production foundation, with code review on every change. | Working software, demonstrated at every increment. | Reviews of each increment and decisions when trade-offs appear. |
| Validate | Automated tests and security scanning in CI — and, for AI, evaluations against real examples. | Test results and, for AI features, evaluation results. | Acceptance against the criteria agreed at the start. |
| Deploy | Staged releases with human approval and a rollback path. | A production release, dashboards and alerts, runbooks. | Release approvals. |
| Improve | Monitoring, model and cost tuning, and improvement from real usage. | Ongoing improvement and a plan for what comes next. | Feedback from real users. |
Quality, security, operations
Engineering you can inspect.
Quality & verification
- Code review on every change.
- Automated tests at the unit, integration and end-to-end level.
- AI evaluations against real examples, before and after every change.
- Security scanning of code and dependencies in CI.
Operating what we build
- Observability — logs, metrics and alerts in place before launch.
- Reversible releases with a documented rollback path.
- Model cost management — usage tracked per request.
- Decision records so the reasoning outlives the project.
What should we build together?
Tell us what you’re trying to build, improve or replace. We’ll help shape it into a scoped brief before anyone commits to anything.
