Experienced practitioners stay involved
The people who shape the recommendation remain involved in delivery and handover, with responsibilities made explicit from the start.
Agentic AI engineering is our focus. Architecture reviews, modernisation, coaching, and custom software address the engineering constraints around your Java and Spring systems. Each service also stands on its own when AI is not the right answer.
Start with the decision or delivery constraint that matters now. Each service has a defined first engagement before any larger commitment.
Take your AI pilot towards production. JVM agents with Spring AI and Embabel, grounded in your data, with dynamic planning, evaluation harnesses, guardrails, cost control, and observability integrated with your operating model.
Fixed-scope discovery and first production agent.
An independent, senior read on your system in two weeks. Where the material risk sits, what to fix first, what to leave alone – as a written report and a prioritised roadmap your team can act on next sprint.
Fixed scope, fixed price, two-week turnaround.
Get your delivery speed back without a big-bang rewrite. Incremental migration to a well-bounded modular monolith with Spring Modulith, planned around ongoing production and feature-delivery obligations.
Fixed-scope discovery first, then delivery in increments.
Embedded technical coaching for sustained changes in day-to-day practice. Pairing, code review, testing discipline, and AI-assisted workflows are applied in your codebase and on current tickets.
Typically one to two days per week, three months minimum.
When you need the system built, not just advised on. Java and Spring applications, including agentic workflows where justified, with explicit operational responsibilities and handover.
Scoped per engagement – fixed-price discovery first, then delivery in increments.
A rough guide based on what you would say if we asked what is wrong.
Start with Agentic AI Engineering. The assessment stage tells you whether an agent is even the right answer before you commit budget.
Start with an Architecture Review. Two weeks, fixed price, and findings delivered before you decide how any follow-on work should be implemented.
Start with Application Modernisation. We compare the options and, where the evidence supports it, plan incremental slices around ongoing delivery.
Start with Developer Coaching. Apply the practices in your codebase, on current tickets and delivery constraints.
Start with Custom Software. Fixed-price discovery first, so you get a plan and an estimate before committing to delivery.
Start with Training. Hands-on Spring, Spring AI, Modulith, Security, and performance courses, tailored to your stack.
A 30-minute call can clarify that. If we are not the right fit, we will say so and, where we can, suggest a more suitable direction or specialist.
The people who shape the recommendation remain involved in delivery and handover, with responsibilities made explicit from the start.
Reviews are sold separately from delivery on purpose, so our recommendations are not quietly shaped by what we would like to build next.
Java, Spring, and the JVM. We are not a full-service agency, and we will say so rather than take work we should not.
Knowledge transfer is built into every engagement. We reduce our involvement as your team takes ownership.
More about the people behind the work on our company page.
Book 30 minutes. Bring the decision, technical context, and constraints. You will speak with a practitioner who can assess the work and would remain involved if we proceed.