Capabilities
Complex ideas.Engineered well.
Three practices that share one standard: understand the problem deeply, engineer the solution precisely, and deliver it so it keeps working.
01
Software Engineering
Systems that carry real load and real responsibility.
We design and build custom software where correctness matters: backend services, APIs, data-heavy platforms and the integrations that connect them. We favour clear architecture, explicit failure handling and observability over cleverness.
What we do
- Software & system architecture
- Backend services and APIs
- Integration of third-party and legacy systems
- Data modelling and PostgreSQL
- Cloud infrastructure, CI/CD and observability
- Security reviews and hardening
Where it fits
When the system is critical, the domain is complex, or the first version has to survive contact with reality.
02
Digital Products
From a validated problem to a product people pay for.
We build focused products — SaaS, developer tools and subscription services — for our own portfolio and with partners. Each starts with a real problem and a measurable definition of success, and is built to grow beyond a single market.
What we do
- Problem discovery and validation
- Product strategy and scoping
- Product & interface design
- MVP to production builds
- Multi-language, multi-market readiness
- Analytics and iteration
Where it fits
When you need a product, not a project — and a team that thinks about what happens after launch.
03
Applied Intelligence
AI and automation where it measurably helps.
We apply automation, machine learning and LLM-based systems when they improve the quality of a product or the efficiency of a process — and we prove it with evaluation, not demos. Human oversight, auditability and cost are part of the design.
What we do
- Opportunity assessment (where AI helps — and where it does not)
- LLM applications with retrieval and tools
- Workflow automation
- Data pipelines and quality
- Evaluation, monitoring and guardrails
- Cost and latency engineering
Where it fits
When a process is repetitive, knowledge-heavy or data-rich — and the outcome can be measured.
Engagement
How we work together.
- 011–3 weeks
Discovery
We map the problem, the constraints and the risks, and leave you with a written plan, an architecture and an honest estimate — useful whether or not we build it.
- 02Milestone-based
Build
A small senior team designs and delivers in short, demonstrable increments, with the decisions and their reasons recorded as we go.
- 03Ongoing
Partnership
For products that keep evolving: we stay on as the engineering team that knows the system, operates it and improves it.
Technology
Proven first. Novel when it pays.
We choose technology for the problem and the team that will run it. Typical choices include:
- TypeScript
- Node.js
- Go
- Python
- Vue & Nuxt
- React
- PostgreSQL
- Redis
- Docker
- Kubernetes
- Cloud platforms
- OpenTelemetry
- LLM APIs
- Vector search
Have a hard problem? Good.
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