01
Custom Software Development
From product idea to a platform that survives its third year.
Systems built around how your business actually works — not around a template.
- Java
- Spring Boot
- Kotlin
- Node.js
Services
Full-cycle software engineering that holds up at scale
From a two-week assessment to a multi-year platform build. Small senior teams, architecture decided before code, and delivery you can audit at every increment.
Service lines
Eight ways we get involved
Pick the entry point that matches your problem. Most engagements start smaller than people expect.
02
Product Development
Zero to a product that has actual users and a roadmap.
Product thinking joined to engineering — discovery, MVP, iteration and scale.
- TypeScript
- React
- Astro
- Node.js
03
Web Application Development
Interfaces that stay fast when the data gets ugly.
Web platforms, dashboards and portals built for real data volumes and real users.
- TypeScript
- React
- Astro
- Vite
04
Backend Engineering
The unglamorous layer everything else depends on.
APIs, services, data models and integrations designed for correctness under load.
- Java
- Spring Boot
- Kotlin
- Node.js
05
AI & Automation
Practical AI aimed at real operational cost, not at the press release.
LLM features, retrieval systems and workflow automation with measurable payback.
- LLM integrations
- RAG
- AI agents
- Python
06
Application Modernization
Turn a system nobody wants to touch into one people can change.
Incremental modernisation of legacy platforms — without a big-bang rewrite.
- Java
- Spring Boot
- Kotlin
- Node.js
07
Cloud & DevOps
Infrastructure that is boring on purpose.
Reproducible environments, automated delivery, and observability worth paging on.
- AWS
- Azure
- Docker
- Kubernetes
08
Technical Consulting
An outside read on the decision you are about to make.
Architecture review, due diligence, and second opinions with a written verdict.
- Architecture review
- Due diligence
- Delivery assessment
Engagement models
Four ways to work with us
The model follows the problem. We will tell you when a cheaper one is enough.
- 01
Dedicated engineering team
A standing team embedded in your process, working in your repositories and your ticket tracker. Best when the roadmap is longer than the current quarter.
- 02
End-to-end product delivery
We take a defined outcome from discovery to production and own the plan, the architecture and the release. Best when you need a result, not a resource.
- 03
Team extension
Specific senior capability added to your existing team — backend, frontend, cloud or applied AI — under your technical leadership.
- 04
Technical advisory & architecture
Short engagements that end in a written verdict: architecture review, due diligence, delivery diagnostics, build-versus-buy.
Not sure which service line fits? Describe the problem and we will tell you — including when the answer is that you do not need us.
Talk to an architectWhy teams keep us
Architecture-led, evidence-first, exit-ready
01Architecture before code
The domain model and system boundaries get decided — and written down — before any framework choice is made.
02Proportional infrastructure
Kubernetes, event sourcing and multi-region failover are costs, not defaults. We size the platform to your actual load and team.
03Reversible increments
Every step is independently releasable and revertible, so a change of direction never costs you a quarter of work.
04Correctness under load
Idempotency, retries, reconciliation and audit trails are designed in, not retrofitted after the first incident.
05Measured AI adoption
AI is applied where it shortens real work, with an evaluation set and a cost-per-task figure attached before rollout.
06Knowledge stays with you
Decision logs, runbooks and tests ship with the code. Handover is a decision you make, not a project you fund.
Case studies
What this looks like in delivery
Problem, constraint, decision, consequence. No vanity metrics, no logos we are not allowed to name.
All case studiesSample contentSample engagement. Illustrative scenario used while the site is in build — not a named client project.
fintech2025
Payment Platform Modernization
A ten-year-old payment monolith moved from quarterly release windows to weekly deployments, without a rewrite and without a settlement incident.
- Release cadence moved from quarterly windows to weekly deployments
- Reconciliation lag reduced from overnight to near real time
- Java
- Spring Boot
- Kotlin
- PostgreSQL
- Kafka
travel and hospitality2025
Enterprise Booking Platform
A booking platform serving multiple properties and channels, rebuilt around a single availability model and a back-office console operators actually wanted to use.
- Overbooking incidents eliminated in the peak season following launch
- Channel synchronisation latency reduced from minutes to seconds
- Kotlin
- Spring Boot
- PostgreSQL
- Redis
- Kafka
saas2026
AI-Assisted Operations Platform
Document intake and support triage moved to a draft-first AI workflow with human approval, measured against an evaluation set built from two years of historical cases.
- Routine classification and extraction handled as drafts, with review rather than authoring
- Quality tracked as a published accuracy metric per task type, not an impression
- Python
- TypeScript
- LLM integrations
- RAG
- Vector databases
How we work
Six steps, and you can stop after any of them
Each phase produces something you own outright — a document, a decision, a running system. There is no point in the engagement where walking away leaves you with nothing.
- 01
Discovery
1–2 weeks
Business goal, users, constraints, integration surface and the riskiest assumption. Output: a written problem statement everyone recognises.
- 02
Technical assessment
1–2 weeks
Existing systems, data, dependencies and delivery process reviewed. Output: risk-ranked findings with effort estimates.
- 03
Solution design
2–3 weeks
Architecture, domain model, delivery plan and cost envelope. Output: a plan you can execute with us or without us.
- 04
Development
Ongoing
Two-week increments, demoable builds, automated tests and a running decision log. Output: working software in your repository.
- 05
Launch
2–4 weeks
Hardening, load testing, observability, runbooks and a rehearsed rollback. Output: production, without the drama.
- 06
Continuous improvement
Ongoing
Measurement, iteration and gradual handover to your team. Output: a system that keeps improving after we leave.
FAQ
Questions we get before the first call
01How do engagements usually start?
With a short paid discovery — normally one to two weeks. It ends in a written problem statement, an architecture direction and a delivery plan that is yours to keep, whoever builds it.
02What size of team do you provide?
Small senior teams, typically two to six people, embedded in your process. We do not scale by adding junior headcount to a fixed-price scope.
03Do you work fixed-price or time and materials?
Discovery and assessment phases are fixed-price because the scope is genuinely known. Build phases run time and materials against a capped, re-planned-every-increment budget.
04Can you work with our existing team and codebase?
Yes — that is most of our work. We use your repositories, your review process and your ticket tracker, and we document decisions so knowledge stays in your organisation.
05Who owns the code and the IP?
You do, from the first commit. Everything is developed in your repositories or transferred at each milestone, with no dependency on our infrastructure.
06What happens after launch?
Whatever you need: a support and improvement retainer, a gradual handover to your team, or a clean exit with documentation and runbooks. All three are normal outcomes.
Start a conversation
Have a technical challenge?Let's talk.
Tell us what you are trying to build, fix or decide. If we are not the right team for it, we will say so and point you somewhere better.