Built for systems that cannot fail
Static typing, a mature toolchain and thirty years of production hardening catch whole classes of errors before deploy. For money movements and contracts, that margin matters.
Technologies
Java
Enterprise backends that run for a decade. Spring Boot services, high-volume transaction systems and the integrations regulated businesses depend on.
What we build with Java
We build Java where reliability is the requirement, not a preference: transactional backends for finance, logistics and insurance, Spring Boot services in large system landscapes, Kafka-based event processing, and integrations with the systems enterprises actually run, from SAP to twenty-year-old SOAP services.
It is the right choice for long-lived systems, strict compliance environments, sustained high throughput and organizations already invested in the JVM. It is the wrong choice for a two-person startup racing to a first release; there Rails or Node.js gets you to market faster, and we will tell you that in the first call.
We develop AI-accelerated, with senior review on every merge, which removes most of the ceremony Java is blamed for. Modern Java (21 and newer, records, virtual threads), automated tests at every level, and observability with OpenTelemetry as part of the definition of done. The result reads like Java written by people who like the language.
Why Java
Performance under sustained load
The JVM's JIT and virtual threads carry high-throughput, long-running workloads with predictable latency. Not the fastest language to prototype in; very hard to beat at month twelve under load.
At home in the enterprise
Security standards, audit trails, SSO, message queues and legacy protocols are solved problems in the Java ecosystem. Your compliance team will not be meeting them for the first time.
A talent pool that lasts
Java engineers exist in every market at every seniority level. A system we hand over will find maintainers for the next fifteen years, which is not true of every stack.
Technologies
How we work
01
Understand the landscape
Enterprise systems fail at the boundaries, so we start there: the systems to integrate, the contracts, the compliance constraints, the load profile. Architecture is documented and defended before code.
02
AI-accelerated build, senior review
AI tooling eliminates Java's boilerplate cost; senior engineers review every merge and own every design decision. Velocity without the usual enterprise drag.
03
Test at every level
Unit, integration and contract tests, plus load tests against the agreed throughput targets, all gating CI. For event-driven systems we test the failure modes, not just the happy paths.
04
Operate and hand over
Metrics, tracing and alerting via OpenTelemetry, runbooks for your operations team, and a structured handover. We stay for the first production weeks, then leave you independent.
What you get
Production Spring Boot services with documented APIs
Event processing on Kafka where the architecture calls for it
Integration adapters for your existing system landscape
A test pyramid wired into CI/CD, including load tests
OpenTelemetry-based observability with dashboards and alerts
Architecture decision records and runbooks your teams can operate from
Common questions
Isn't Java slow to develop in?
That reputation comes from Java 6 and heavyweight process, not from the language today. Records, virtual threads and Spring Boot removed most of the ceremony, and AI-accelerated development removes most of what was left. Our Java delivery pace surprises teams who last saw the language a decade ago.
Spring Boot or something newer?
Spring Boot by default: it is the ecosystem your future hires know and your systems integrate with. Quarkus or plain Java where cold starts or footprint genuinely matter, such as serverless. We choose per workload and put the reasoning in the architecture record.
Can you modernize our legacy Java system?
Yes, incrementally. We audit first, then modernize in slices: upgrade the runtime, put tests around the critical paths, extract services only where the evidence supports it. Big-bang rewrites of working enterprise systems fail often enough that we do not recommend them.
Java or Kotlin?
Both run on the JVM and interoperate cleanly, so this is a team question more than a technical one. Modern Java has closed much of the gap. We default to Java for the wider hiring pool; if your codebase or team already lives in Kotlin, we work in Kotlin.
Planning or rescuing an enterprise backend?
Book a free 30-minute call with a senior engineer. You get an honest read on the architecture and a first milestone worth funding.
Talk to an engineer