Scala engineers who ship. Now they ship faster.
We're a Scala-first engineering company. Our engineers work with AI agents, so you get faster delivery without trading away the code quality that Scala is built for.
Most agencies offer Scala as a line item. We built our company on it.
We've been writing Scala since the beginning. We contribute to the open source ecosystem, ZIO Elasticsearch, Linthaal, scurl-detector, scountries. We run Scala community events. Our engineers go deep on functional programming because it's how we think, not because a client asked for it.
What's changed is how we work. With AI agents handling boilerplate, test scaffolding, and documentation, our Scala engineers spend more time on system design, functional architecture, and the decisions that determine whether a backend holds up at scale. The quality bar is the same. The pace is faster.
What we build with Scala.
High-throughput, fault-tolerant backends built on ZIO, Akka, or Cats. Built to scale. Built to be maintained by the next team.
We design and implement microservice systems for teams moving off a monolith or building distributed from the start.
Pure functional codebases that are easier to reason about, test, and change. We apply functional programming principles not as a style preference but because they reduce bugs and make complex systems manageable.
Event-driven pipelines using Kafka and ZIO Streams. Built for the data volumes that make traditional approaches break.
We embed Scala engineers into your existing team. Same standards, same codebase, no ramp-up period. A dedicated team can be ready in two weeks.
Tech we believe in.
More time for the hard parts.
Scala development has always rewarded engineers who can focus. Functional design, effect system choices, algebraic data modeling, these take thought. What takes time without adding value: test boilerplate, documentation structure, routine refactoring patterns.
Our engineers work with AI agents that handle the repeatable layer. That means more engineering time on the work that determines whether your system is correct, composable, and maintainable. Less time on the scaffolding around it.
The output is the same quality Scala you'd expect from a team that cares about the language. Just more of it.
We contribute to the Scala ecosystem because we use it seriously.
A ZIO-native client for Elasticsearch. Type-safe, composable, production-tested.
github.com/lambdaworks/zio-elasticsearchA Graph-of-Thoughts multi-agent AI library for computational biology, built on ZIO.
github.com/lambdaworks/linthaalURL detection in Scala, used in production content pipelines.
github.com/lambdaworks/scurl-detectorISO country data as Scala types.
github.com/lambdaworks/scountriesThese projects exist because we needed them. They're evidence of how we approach the language.
Need Scala expertise?
You need to scale a team, modernize an architecture, or add capability without hiring. We embed engineers who can read the codebase and contribute from day one.
You're weighing Scala against alternatives and want an honest technical assessment. We've shipped enough Scala in production to tell you where it's the right call and where it isn't.
You have a Java or older Scala codebase and a modernization mandate. We run the diagnostic, build the roadmap, and pilot the modernization before committing to the full rewrite.
Common questions about Scala development.
Our engineering practice was built around Scala from the start. We contribute to the open source ecosystem, organize community events, and apply functional programming principles across our entire backend practice. It's not a skill we added to a list, it's how we build.
Both, depending on the problem. ZIO is our default for new projects that need composable, testable effect handling. Akka suits distributed actor systems and event-sourced architectures. We make the recommendation based on your system's specific requirements, not a default preference.
Yes. We've extended and modernized existing Scala systems across different versions and frameworks. The first step is a codebase review to understand the architecture, existing patterns, and constraints before we start contributing.
A dedicated team can be assembled and onboarded in as little as two weeks. For augmentation engagements, it's faster, engineers embed directly into your existing process.
Boilerplate generation, test scaffolding, and documentation are where agents add speed in a Scala codebase. Our engineers review and own all architecture decisions, type design, and effect system choices. Nothing architectural goes through a model without an engineer's judgment.